WO2020250330A1

WO2020250330A1 - Aquatic animal cultivation assisting system, lift device, feeding device, aquatic animal cultivation method, and aquatic animal cultivation assisting program

Info

Publication number: WO2020250330A1
Application number: PCT/JP2019/023213
Authority: WO
Inventors: 謙藤原
Original assignee: ウミトロンピーティーイーエルティーディー
Priority date: 2019-06-12
Filing date: 2019-06-12
Publication date: 2020-12-17
Also published as: BR112021024618A2; MX2021015233A; CN113795145A; JPWO2020250330A1; JP6695585B1; CN113795145B; ECSP21088851A

Abstract

[Problem] To provide an aquatic animal cultivation assisting system capable of easily acquiring information relating to an aquatic animal such as shrimp in an aquaculture pond. [Solution] An aquatic animal cultivation assisting system 1 is provided with: a captured image acquisition unit 151 for acquiring a captured image acquired by imaging a collector 20 taken from an aquaculture pond for an aquatic animal using a camera 30; an image analysis unit 155 for analyzing the captured image acquired by the captured image acquisition unit 151; and an aquatic animal information acquisition unit 157 for acquiring aquatic animal information relating to an aquatic animal in the aquaculture pond on the basis of the analysis result from the image analysis unit 155.

Description

Aquatic animal farming support system, lifting device, feeding device, aquatic animal farming method, and aquatic animal farming support program

The present invention relates to an aquatic animal aquaculture support system, an elevating device, a feeding device, an aquatic animal aquaculture method, and an aquatic animal aquaculture support program that can acquire information on aquatic animals in aquaculture ponds.

Conventionally, various methods for cultivating aquatic animals such as shrimp in aquaculture ponds and feeding devices used for aquaculture have been proposed. For example, Patent Document 1 below discloses a configuration of a feeding device that feeds by mixing feed into a water supply route to an aquaculture aquarium.

By the way, when cultivating aquatic animals, it is necessary to appropriately acquire information such as the state of aquatic animals growing in the aquaculture pond and appropriately adjust the conditions for aquaculture accordingly. Specifically, for example, it is necessary to accurately determine the amount of feed. Insufficient feeding reduces the growth rate of aquatic animals. On the other hand, if the amount of feed is excessive, the water quality of the pond deteriorates, the risk of disease increases, and the mortality rate of aquatic animals increases. When determining the amount of feed, it is necessary to understand the biomass of aquatic animals in the aquaculture pond. However, it is generally difficult to ascertain the biomass of aquatic animals due to the low transparency of the pond.

In order to grasp information about aquatic animals in the aquaculture pond, such as biomass, sampling using a collector such as a colander may be performed. Sampling is performed, for example, by placing a colander in a farm pond and then pulling it up to investigate the number and condition of aquatic animals remaining in the colander.

JP-A-2018-108075

However, such sampling takes time and effort.

That is, conventionally, when aquatic animals are cultivated, it is difficult to obtain information on aquatic animals in the aquaculture pond.

The aquatic animal culture support system of the first invention is a photographed image acquisition unit that acquires a photographed image which is a still image or a moving image obtained by photographing a collector raised from an aquatic animal farming pond with a camera. And an image analysis unit that analyzes the captured image acquired by the captured image acquisition unit, and an aquatic animal information acquisition unit that acquires aquatic animal information about aquatic animals in the farming pond based on the analysis results of the image analysis unit. It is an aquatic animal farming support system.

With such a configuration, information on aquatic animals in the aquaculture pond can be easily obtained.

Further, in the aquatic animal aquaculture support system of the second invention, with respect to the first invention, the image analysis unit detects an area including an object in the captured image and is based on the information stored in advance. , It is an aquatic animal farming support system that determines whether or not the detected area contains aquatic animals.

With such a configuration, it is possible to determine with high accuracy the aquatic animals contained in the captured image.

Further, in the aquatic animal cultivation support system of the third invention, with respect to the first or second invention, the aquatic animal information includes information on the number of aquatic animals, information on the weight of aquatic animals, and the size of aquatic animals. An aquatic animal farming support system that includes at least one of information about, at least one of aquatic animal intestinal color and size, information about aquatic animal feed digestibility, and information about aquatic animal abnormalities.

With such a configuration, at least one of information on the number, weight, size, abnormality, and appetite of aquatic animals in the aquaculture pond can be easily obtained.

Further, the aquatic animal aquaculture support system of the fourth invention further provides an elevating device for raising the aquatic animal from the aquaculture pond after lowering the collector and immersing it in the aquaculture pond for any of the first to third inventions. It is an aquatic animal farming support system.

With such a configuration, it is possible to more easily obtain information on aquatic animals in the aquaculture pond, including operations related to raising and lowering the collector.

Further, in the aquatic animal aquaculture support system of the fifth invention, in contrast to the fourth invention, the photographed image acquisition unit was photographed at a timing corresponding to the timing when the collector was lifted from the aquaculture pond by the elevating device. This is an aquatic animal farming support system that acquires captured images.

With this configuration, it is possible to automatically acquire information on aquatic animals in the aquaculture pond according to the raising and lowering of the collector.

Further, the aquatic animal aquaculture support system of the sixth invention is an aquatic animal aquaculture support system in which the elevating device raises and lowers the collector according to a predetermined schedule for the fourth or fifth invention.

With this configuration, it is possible to automatically raise and lower the collector to obtain information on aquatic animals.

In addition, the aquatic animal aquaculture support system of the seventh invention further includes a weight information acquisition unit that acquires weight information regarding the weight of the collector raised from the aquaculture pond for any of the first to sixth inventions. In preparation, the aquatic animal information acquisition unit acquires aquatic animal information regarding the amount of aquatic animals in the aquaculture pond obtained based on the image analysis result of the image analysis unit and the weight information acquired by the weight information acquisition unit. It is an aquatic animal farming support system.

With this configuration, it is possible to obtain highly accurate information on aquatic animals in the aquaculture pond.

Further, the aquatic animal aquaculture support system of the eighth invention is an aquatic animal aquaculture support system in which a pattern that can be photographed by a camera is attached to the collector for any of the inventions 1 to 7. Is.

Further, in the aquatic animal aquaculture support system of the ninth invention, for any of the first to eighth inventions, the collector immersed in the aquaculture pond is photographed by a camera above the water surface of the aquaculture pond. An image acquisition unit during immersion that acquires an image during immersion, a position information acquisition unit that acquires position information regarding the position of the sampler in the vertical direction, and an image during immersion acquired by an image acquisition unit during immersion. This is an aquatic animal aquaculture support system further including a turbidity detection unit that detects the turbidity of the aquaculture pond based on the position information acquired by the position information acquisition unit.

With such a configuration, the turbidity of the aquaculture pond can be easily detected.

Further, the aquatic animal aquaculture support system of the tenth invention further includes an environmental sensor for acquiring environmental measurement values related to the environment of the fishpond for any of the inventions 1 to 9, and the environmental sensor collects the aquatic animal. It is an aquatic animal aquaculture support system attached to a collector or a member attached to the collector so that it can be immersed in a fishpond together with the vessel.

With such a configuration, it is possible to easily obtain environmental measurement values related to the environment of the aquaculture pond as the collector is immersed in the aquaculture pond.

Further, in the aquatic animal aquaculture support system of the eleventh invention, the aquatic animal information acquisition unit obtained the aquatic animal in the aquaculture pond based on the environmental measurement value acquired by the environmental sensor for the tenth invention. It is an aquatic animal aquaculture support system that acquires aquatic animal information on the amount of animals.

Further, the aquatic animal aquaculture support system of the twelfth invention further includes a feeding device for supplying aquaculture pond for any of the first to eleventh inventions, and the aquatic animal information acquisition unit Based on the feeding timing of the feed by the feeding device and the shooting timing of the captured image analyzed by the image analysis unit, information on excess or deficiency of feeding amount, information on at least one of the color and size of the intestines of aquatic animals, and feed. It is an aquatic animal aquaculture support system that acquires aquatic animal information including at least one of the information on the digestibility of aquatic animals.

With this configuration, it is possible to obtain at least one of information on excess or deficiency of feed for aquatic animals in aquaculture ponds, information on at least one of the intestinal color and size of aquatic animals, and information on feed digestibility. it can.

In addition, the aquatic animal farming support system of the thirteenth invention was acquired by the aquatic animal information acquisition department and the feeding device that supplies feed to the aquaculture pond for any of the first to eleventh inventions. It further includes a feeding condition setting unit that sets feeding conditions related to the supply of feed by the feeding device based on aquatic animal information, and the feeding device supplies feed based on the feeding conditions set by the feeding condition setting unit. This is an aquatic animal farming support system.

With such a configuration, feed can be supplied under feeding conditions according to the condition of aquatic animals in the aquaculture pond.

Further, in the aquatic animal aquaculture support system of the fourteenth invention, with respect to the thirteenth invention, the feeding condition includes at least one of the condition relating to the feed supply timing and the condition relating to the feed supply amount. It is an aquatic animal farming support system.

With this configuration, the feed timing or feed amount can be set according to the condition of the aquatic animals in the aquaculture pond.

Further, the aquatic animal aquaculture support system of the fifteenth invention further includes a reference value storage unit for storing a predetermined reference value regarding the growth of aquatic animals for the thirteenth or fourteenth invention. The aquatic animal farming support system sets the feeding conditions based on the comparison result between the reference value stored in the reference value storage unit and the aquatic animal information acquired by the aquatic animal information acquisition unit. Is.

With such a configuration, feed can be supplied under feeding conditions according to the growth state of aquatic animals in the aquaculture pond.

Further, the aquatic animal aquaculture support system of the sixteenth invention further includes a feed tank for storing the feed fed by the feeding device for any of the twelfth to fifteenth inventions, and the camera An aquatic animal farming support system located under or inside a feed tank.

With such a configuration, the influence of the shooting environment such as weather and lighting on the shot image can be reduced, and a more accurate analysis result of the shot image can be obtained.

Further, in the aquatic animal aquaculture support system of the seventeenth invention, for any of the inventions 1 to 16, the aquatic animal information acquisition unit determines the amount of feed supplied to the aquaculture pond and image analysis. This is an aquatic animal aquaculture support system that acquires aquatic animal information based on the analysis results of the department.

Further, in the aquatic animal cultivation support system of the eighteenth invention, the aquatic animal information acquired by the aquatic animal information acquisition department is used for the aquatic animal growth days information and the aquatic animal growth days information for any of the first to seventeenth inventions. Based on the aquatic animal information storage unit stored in association with the information related to the growing environment and the past aquatic animal information and the current aquatic animal information stored in the aquatic animal information storage unit, the current aquatic animal pond This is an aquatic animal farming support system that determines the growth status of aquatic animals.

With such a configuration, it is possible to appropriately judge the growth state of aquatic animals in the aquaculture pond.

Further, the elevating device of the nineteenth invention is an elevating device used in the above-mentioned aquatic animal aquaculture support system, and elevates and lowers a holding member for holding a collector and a collector held by the holding member. It is an elevating device including an elevating mechanism for the purpose and a drive unit for driving the elevating mechanism.

With such a configuration, the collector can be easily moved up and down by the lifting device.

Further, the feeding device of the present invention is a feeding device used in the above-mentioned aquatic animal aquaculture support system, and includes a feed tank for storing feed and a measuring unit for measuring feed taken out from the feed tank. , A feeding device including a supply unit that supplies feed measured by the measuring unit to the aquaculture pond.

With such a configuration, feed can be easily supplied to the aquaculture pond by the feeding device.

Further, in the aquatic animal farming method of the 21st invention, the first step of photographing the aquatic animal raised from the aquatic animal farming pond with a camera from above, and the photographing obtained by the first step. Aquatic animals, including a second step of image analysis of the image and a third step of acquiring aquatic animal information about the aquatic animals in the aquaculture pond based on the image analysis result of the captured image obtained by the second step. It is an animal farming method.

By this method, information on aquatic animals in the aquaculture pond can be easily obtained.

According to the aquatic animal aquaculture support system, elevating device, feeding device, aquatic animal aquaculture method, and aquatic animal aquaculture support program according to the present invention, information on aquatic animals in the aquatic pond can be easily obtained.

Schematic diagram of the shrimp farming support system according to the first embodiment of the present invention Block diagram of the shrimp farming support system The first figure which shows the operation at the time of sampling of the elevating device of the shrimp culture support system The second figure which shows the operation at the time of sampling of the elevating device of the shrimp culture support system Diagram showing an example of shrimp sampled by the shrimp farming support system Diagram showing the colander used in the shrimp farming support system A diagram schematically showing an example of a part of the photographed image handled by the shrimp farming support system. A diagram schematically showing another example of some of the captured images handled by the shrimp farming support system. Diagram showing an example of captured images handled by the shrimp farming support system Flow chart showing the overall flow of operations performed by the shrimp farming support system Flow chart explaining the feeding performed by the shrimp farming support system Flow chart explaining sampling performed by the shrimp farming support system Flow chart explaining the shrimp information analysis processing performed by the shrimp farming support system Flow chart explaining the reflection processing performed by the shrimp farming support system Flow chart explaining the turbidity detection process performed by the shrimp farming support system The figure which shows the structure of the lifting device which concerns on Embodiment 2. The figure which shows the structure of the lifting device which concerns on Embodiment 3. The figure which shows the structure of the lifting device which concerns on Embodiment 4. The figure which shows the operation at the time of sampling of the lifting device The figure explaining the lifting device which concerns on one modification of Embodiment 4. Overview of the computer system according to the above embodiment Block diagram of the computer system

Hereinafter, embodiments of the aquatic animal farming support system and the like will be described with reference to the drawings. In the embodiment, the components with the same reference numerals perform the same operation, and thus the description may be omitted again.

The terms used in the following explanation are defined as follows. The meanings of these terms are not limited to these, and include those shown in the following description.

Aquatic animals refer to animals that live in water, such as crustaceans, shellfish, and fish. Shrimp refers to so-called crustaceans belonging to the suborder Kuruma prawns of the order Decapoda, but is not limited to this. The following embodiments relate to, for example, a shrimp farming support system used in the farming of whiteleg shrimp and the like, but the shrimp to be cultivated is not limited to this. In addition, other aquatic animals may be targeted for aquaculture.

Aquaculture pond is an area filled with water (whether freshwater, seawater, or brackish water) for cultivating aquatic animals. The environment of the aquaculture pond may differ depending on the type of aquatic animal to be cultivated. The aquaculture pond may be artificially created or naturally formed. The aquaculture pond may be a large aquarium for aquaculture filled with water, whether outdoors or indoors. A section composed of a part of an area with water may be called a fishpond.

A collector is an instrument used to sample aquatic animals in aquaculture ponds when aquatic animals are being cultivated. As the collector, for example, a colander can be used. The colander may have a reticulated portion or a perforated portion, and may be configured to allow a liquid to pass through and leave a solid substance inside when it is pulled out of water. Here, the net-like portion may be made of cloth. That is, in the following embodiments, those configured so that aquatic animals such as shrimp and other solids to be cultivated can be scooped out from the aquaculture pond can be widely used. Further, as the sampling device, a container such as a bucket made of a member that hardly allows liquid to permeate may be used.

The captured image is, for example, a still image or a moving image captured by a camera, but is not limited to this. For example, it may be a still image extracted from a moving image taken by a camera.

The reference values for the growth of aquatic animals such as shrimp are, for example, for shrimp, DOC (Day of Culture; number of days of growth after putting juvenile shrimp in aquaculture pond) and standard ABW (Average Body Weight; average of shrimp). It means a value associated with (weight). The reference value may be summarized in a table, or may be a growth curve represented by, for example, a mathematical formula.

The growth days information is, for example, DOC, the number of days passed after hatching, and the like.

The information on the growing environment is, for example, information obtained by an environmental sensor or information on the weather (specifically, for example, temperature, wind speed, weather, precipitation, solar radiation, etc.).

The environment of the culture pond is a concept that includes, for example, water temperature, oxygen, ammonia, nitrate, nitrite, carbon dioxide concentration, and other matters related to water quality, but is not limited to this.

Information acquisition means accepting information input from input devices such as keyboards, mice, and touch panels, receiving information transmitted from other devices via wired or wireless communication lines, optical disks, magnetic disks, and semiconductors. It is a concept including obtaining information by accepting information read from a recording medium such as a memory.

To output information means to display on a display, project using a projector, print with a printer, output sound, transmit to an external device, store in a recording medium, process to another processing device or other program. It is a concept that includes delivery of results. Specifically, for example, it includes enabling the display of information on a web page, transmitting it as an e-mail, and outputting information for printing.

(Embodiment 1)

In the present embodiment, the aquatic animal aquaculture support system analyzes the captured image obtained by photographing the collector raised from the aquatic animal farming pond with a camera, and based on the image analysis result of the captured image. Acquire aquatic animal information on aquatic animals in aquaculture ponds. The aquatic animal information includes, for example, information on the amount of aquatic animals, information on abnormalities in aquatic animals, information on the appetite of aquatic animals (for example, information on the speed of feed consumption, information on excess or deficiency of feed amount, etc.). It contains. For example, the aquatic animal farming support system is a shrimp farming support system used for shrimp farming. The shrimp farming support system 1 analyzes the photographed image obtained by photographing the zaru 20 raised from the shrimp farming pond with the camera 30, and based on the image analysis result of the photographed image, provides aquatic animal information. Obtain shrimp information about shrimp in aquaculture ponds. Shrimp information includes, for example, information on the amount of shrimp (for example, information on the amount of shrimp, information on the number of shrimp, information on the weight of shrimp, information on the size of shrimp, etc.), information on abnormalities in shrimp, or information on shrimp. Information on the appetite of shrimp (for example, information on the speed of food consumption, information on excess or deficiency of feed, information on at least one of the color and size of the shrimp intestine, information on the digestibility of feed (feed), etc.) It contains.

Note that, for example, the following may be performed. That is, when acquiring the shrimp information, various information can be used in addition to the image analysis result. Further, in the present embodiment, the shrimp farming support system 1 may have an elevating device 40 that lowers the colander 20 and soaks it in the pond, and then raises the colander 20 from the pond. In this case, for example, the image analysis of the photographed image taken at the timing corresponding to the timing when the Zaru 20 is raised from the aquaculture pond may be performed. Further, in the present embodiment, the shrimp farming support system 1 may have a feeding device for supplying feed to the fishpond. In this case, for example, shrimp information may be acquired based on the feed supply timing and the capture timing of the captured image, or the feeding device may set conditions related to feed supply based on the acquired shrimp information. ..

In the present embodiment, the shrimp farming support system 1 including the information processing device 100 will be described.

FIG. 1 is a schematic view of the shrimp farming support system 1 according to the first embodiment of the present invention.

In the figure below, reference numeral S is the cultivated shrimp, reference numeral FF is the feed to be supplied, and reference numeral FR is the residual feed (feed that has been supplied but remains in the water without being eaten by the shrimp). Are schematically shown.

As shown in FIG. 1, in the present embodiment, the shrimp farming support system 1 includes an information processing device 100 and a user terminal device 910 on the remote side (so-called ASP side) and a local side (shrimp farm side). It is equipped with each device. On the local side, for example, a colander 20, a camera 30, an elevating device 40, a feeding device 60, an aeration device 70, an environment sensor 81, a weight sensor 83, and the like are provided. The information processing device 100, the user terminal device 910, the lifting device 40 on the local side, and the like can communicate with each other via a network such as the Internet.

In the present embodiment, the elevating device 40, the feeding device 60, and the aeration device 70 are each connected to a network such as the Internet, but the present invention is not limited to this. For example, only the lifting device 40 may be connected to the network, and the feeding device 60 and the aeration device 70 may be connected to the lifting device 40. Further, a server device may be provided on the local side, and another local device may be connected to the server device. Further, the information processing device 100 and the user terminal device 910 may be provided as one of the devices on the local side, and each device does not distinguish between the local side and the remote side, and the shrimp as described below. It suffices if they are connected to each other so that the operation of the aquaculture support system 1 can be performed.

In FIG. 1, for example, a tablet-type information terminal device is shown as a user terminal device 910, but the user terminal device 910 is not limited to this, and for example, a mobile phone such as a so-called smartphone is used. It may be an information terminal device, a personal computer (PC) such as a laptop computer, or a device other than these. A user (user) of the shrimp farming support system 1 can use the shrimp farming support system 1 by using the user terminal device 910.

The user terminal device 910 is, for example, a general tablet-type information terminal device, and has a display device provided with a touch panel. The user terminal device 910 is realized from a storage unit, an MPU, a memory, etc. in which various information and programs are stored, and is a processing unit that performs various processes by executing the program, the user terminal device 910. Has a communication unit and the like that are connected to the network and controlled so that communication with other devices connected to the network can be performed.

In the user terminal device 910, by executing the program by the processing unit, for example, the web browser function can be made to function, or the information transmission / reception function such as e-mail can be made to function. With such a function, the user of the user terminal device 910 can browse the information received from another device connected to the network, or cause the user terminal device 910 to transmit the information to the other device. can do.

FIG. 2 is a block diagram of the shrimp farming support system 1.

First, the schematic configuration of each device on the local side will be described with reference to FIGS. 1 and 2.

The elevating device 40 has the following components, and the colander 20 can be lowered from a predetermined standby position and immersed in a fishpond, or the colander 20 immersed in a fishpond can be lifted from the pond. ..

The elevating device 40 includes an elevating mechanism 41, a hanging string (an example of a holding member) 43, a drive unit (an example of a drive unit) 45, a control unit 47, and the like. The control unit 47 has a communication unit 49. Further, a camera 30, an environment sensor 81, and a weight sensor 83 are attached to the elevating device 40.

In the present embodiment, the elevating device 40 is suspended from, for example, a structure located above the aquaculture pond via a weight sensor 83. Here, the structure may be the ceiling of a building built so as to surround the fishpond (in the case of indoor aquaculture), the beam of Yakura built in the fishpond (in the case of outdoor aquaculture), and aquaculture. It may be a beam-shaped member located above the pond.

The hanging string 43 holds the colander 20. The hanging string 43 is, for example, a linear member that suspends the colander 20 from the elevating mechanism 41. In other words, the colander 20 is suspended from the elevating mechanism 41 by, for example, a hanging string 43.

The elevating mechanism 41 is, for example, a reel capable of winding and feeding the hanging string 43. The elevating device 40, for example, rotates the reel of the elevating mechanism 41 by a drive unit 45 which is an electric motor to wind up and unwind the hanging string 43 to move the colander 20 up and down.

The control unit 47 can usually be realized from an MPU, a memory, or the like. The processing procedure of the control unit 47 is usually realized by software, and the software is recorded on a recording medium such as ROM. However, it may be realized by hardware (dedicated circuit). In the present embodiment, the control unit 47 controls the operation of the drive unit 45 and the like. That is, the colander 20 moves up and down according to the control of the control unit 47.

In the present embodiment, the elevating device 40 is configured to lower the colander 20 and soak it in the pond, and then raise the colander 20 from the pond. In the present embodiment, the elevating device 40 raises and lowers 20 according to a predetermined schedule. In the present embodiment, the elevating device 40 is configured to raise and lower the colander 20 in response to a command transmitted from the information processing device 100 on a predetermined schedule. The control unit 47 or the like may be configured to autonomously raise or lower the Zaru 20 according to the schedule information stored in the storage unit provided in the elevating device 40.

The communication unit 49 connects the elevating device 40 to the network and controls it so that it can communicate with other devices connected to the network. The communication unit 49 may be configured to perform wireless communication using, for example, wireless LAN or data communication of a mobile phone, or may be configured to perform various types of wired communication.

In the present embodiment, the environment sensor 81 is attached to, for example, a member attached to the colander 20. Specifically, the environment sensor 81 is attached to the hanging string 43 near the colander 20. That is, the environment sensor 81 is attached so as to be immersed in the aquaculture pond together with the colander 20. The environment sensor 81 may be attached to the colander 20.

The environment sensor 81 acquires environmental measurement values related to the environment of the aquaculture pond. The environmental measurement value may be the value itself measured by the environment sensor 81, or is acquired by the environment sensor 81 using a predetermined calculation formula or a predetermined table based on the measurement result regarding the environment of the aquaculture pond. It may be a value obtained. The environmental sensor 81 includes, for example, a temperature sensor that outputs water temperature or temperature as an environmental measurement value, a dissolved oxygen sensor (DO sensor) that outputs dissolved oxygen in the culture pond as an environmental measurement value, and hydrogen in the water of the culture pond. A pH sensor that outputs the ion concentration as an environmental measurement value is provided. The environment sensor 81 may include a sensor that outputs environmental measurement values related to the environment of the aquaculture pond other than these. Further, among the above, some of the above may not be provided as the environment sensor 81.

The environmental sensor 81 is immersed in the fishpond when the colander 20 is immersed in the fishpond, and can output each environmental measurement value for the fishpond. When the colander 20 is pulled up from the pond, the environment sensor 81 is also pulled up from the pond. That is, since the environment sensor 81 is immersed in the aquaculture pond only at the time of measurement according to the timing of raising and lowering the colander 20, it is possible to prevent the environment sensor 81 from becoming dirty (adhesion of algae, etc.).

Here, the weight sensor 83 can output weight information regarding the weight of the colander 20 raised from the aquaculture pond. For example, the weight sensor 83 obtains the increase in the measured value of the weight after being soaked in the fishpond from the measured value of the weight before being soaked in the fishpond as the weight information of the solid matter such as shrimp remaining in the colander 20. be able to.

The weight sensor 83 may not be provided, and the weight information is not limited to the above. For example, the control unit 47 may detect the magnitude of the load applied to the drive unit 45 when raising the colander 20, and may use it as weight information. In this case, the control unit 47 may calculate the weight information regarding the weight of the colander 20 based on the magnitude of the load applied to the drive unit 45.

In the present embodiment, the control unit 47 acquires the environmental measurement value output from the environment sensor 81, the weight information output from the weight sensor 83, and the like. The control unit 47 can transmit the acquired information or the like to the information processing device 100 or the like.

Further, in the present embodiment, the control unit 47 can detect the position information indicating the vertical position of the colander 20. The position information can be detected based on, for example, the amount of rotation (the amount of feeding and winding of the hanging string 43) obtained from the elevating mechanism 41, the drive unit 45, and the like. The control unit 47 can transmit the detected position information to the information processing device 100.

FIG. 3 is a first diagram showing the operation of the lifting device 40 of the shrimp farming support system 1 at the time of sampling. FIG. 4 is a second diagram showing the operation of the lifting device 40 of the shrimp farming support system 1 at the time of sampling.

As described above, when sampling using the elevating device 40 in the present embodiment, as shown in FIG. 3, the hanging string 43 is extended from the elevating mechanism 41 to lower the colander 20 from the standby position on the water. , Zaru 20 is immersed in a fishpond. At this time, the environment sensor 81 is also immersed in the aquaculture pond. As a result, the environment sensor 81 can obtain environmental measurement values related to the environment of the aquaculture pond.

After that, as shown in FIG. 4, the hanging string 43 is wound up by the elevating mechanism 41 to pull the colander 20 onto the water and raise it to a predetermined standby position. Then, in that state, a photographed image can be obtained by photographing the colander 20 with the camera 30. It is preferable that the distance between the camera 30 and the predetermined standby position is constant, but the distance is not limited to this. Further, when a moving image is obtained as a captured image, or when a plurality of still images are obtained in one sampling, the shooting may be performed while the Zaru 20 is raised. In such a case, the standby position for the Zaru 20 may not be determined.

After the shooting after sampling is completed, it is preferable that the work remaining in the colander 20 is returned to the aquaculture pond. This work may be performed by an operator, but it may be automatically performed by providing a mechanism for lowering the colander 20 again and shaking it or turning the colander 20 upside down.

Returning to FIGS. 1 and 2, the feeding device 60 has the following components and automatically supplies feed to the aquaculture pond.

The feeding device 60 includes a feed tank 61, a measuring unit (an example of a measuring unit) 63, a spraying mechanism (an example of a supply unit) 65, a driving unit 66, a control unit 67, and a feeding condition storage unit 68. doing. The control unit 67 has a communication unit 69. The feeding device 60 is arranged above the aquaculture pond, for example, and a predetermined amount of feed (schematically indicated by a black circle (reference numeral FF) in the figure) is sprayed from the feeding device 60 to the aquaculture pond at each feeding timing. can do.

The feed tank 61 stores the feed fed by the feeding device 60.

The measuring unit 63 is a scale for measuring the feed taken out from the feed tank 61. The measuring unit 63 can measure a predetermined amount of feed and take it out from the feed tank 61 according to the control by the control unit 67.

The spraying mechanism 65 supplies the feed weighed by the measuring unit 63 and taken out from the feed tank 61 to the aquaculture pond. The spraying mechanism 65 has, for example, a rotatable arm member. The feeding device 60 is configured so that the feed can be evenly distributed to the aquaculture pond by, for example, sprinkling the feed from the arm member while rotating the arm member of the spraying mechanism 65 by the drive unit 66 which is an electric motor. ing. The supply unit for supplying feed to the aquaculture pond is not limited to such a spraying mechanism 65, and known means can be widely used.

The feeding condition storage unit 68 stores information on feeding conditions (hereinafter, this information itself may also be simply referred to as feeding conditions). The feeding conditions include at least one of a condition relating to the timing of feeding and a condition relating to the amount of feed supplied. In the present embodiment, the feeding condition includes, for example, both a condition relating to the feed timing and a condition relating to the feed supply amount.

The feeding condition storage unit 68 is preferably a non-volatile recording medium, but can also be realized by a volatile recording medium. In the present embodiment, as described later, the feeding condition transmitted from the feeding condition setting unit in the information processing apparatus 100 is stored (set) in the feeding condition storage unit 68. The process of storing the feeding conditions in the feeding condition storage unit 68 does not matter. For example, the feeding condition may be stored in the feeding condition storage unit 68 via the recording medium, and the feeding condition transmitted via the communication line or the like may be stored in the feeding condition storage unit 68. Alternatively, the feeding condition input via the input device may be stored in the feeding condition storage unit 68.

The control unit 67 can usually be realized from an MPU, a memory, or the like. The processing procedure of the control unit 67 is usually realized by software, and the software is recorded on a recording medium such as ROM. However, it may be realized by hardware (dedicated circuit). The control unit 67 supplies feed to the aquaculture pond based on the feeding conditions stored in the feeding condition storage unit 68.

The communication unit 69 connects the feeding device 60 to the network and controls so that communication with other devices connected to the network can be performed. The communication unit 69 may be configured to perform wireless communication using, for example, wireless LAN or data communication of a mobile phone, or may be configured to perform various types of wired communication.

In the present embodiment, the control unit 67 records the feeding information (log; for example, information such as the feeding time and the feeding amount) when the feeding is actually performed. The control unit 67 can transmit the recorded feeding information and the like to the information processing device 100 and the like.

The aeration device 70 has the following components, and performs an operation (aeration) to increase the dissolved oxygen in the aquaculture pond.

The aeration device 70 includes, for example, an impeller that hits the water surface of the aquaculture pond, a drive unit 76 that is an electric motor that rotates the impeller, and a control unit 77 that controls the operation of the drive unit 76. The control unit 77 has a communication unit 79. By executing aeration, the aeration device 70 causes bubbles to be generated in the pond by the rotating impeller, and increases the dissolved oxygen in the pond.

The control unit 77 can usually be realized from an MPU, a memory, or the like. The processing procedure of the control unit 77 is usually realized by software, and the software is recorded on a recording medium such as ROM. However, it may be realized by hardware (dedicated circuit). Based on the command transmitted from the information processing device 100, the control unit 77 operates the drive unit 76 to execute aeration, or stops the drive unit 76 to stop the aeration.

The communication unit 79 connects the aeration device 70 to the network and controls the aeration device 70 so that it can communicate with other devices connected to the network. The communication unit 79 may be configured to perform wireless communication using, for example, wireless LAN or data communication of a mobile phone, or may be configured to perform various types of wired communication.

The aeration device 70 is not limited to the one having an impeller as described above. For example, the dissolved oxygen may be increased by blowing a gas containing oxygen into the aquaculture pond by a pump or the like, or the dissolved oxygen may be increased by replacing a part of the water in the aquaculture pond. May be.

As shown in FIG. 2, the information processing device 100 includes a storage unit 110, a processing unit 150, an information output unit 170, a communication unit 190, and the like. The information processing device 100 is, for example, a server device.

The storage unit 110 includes a photographed image storage unit 111, a weight information storage unit 113, an environmental measurement value storage unit 115, a feeding information storage unit 116, a reference value storage unit 117, and a shrimp information storage unit (an example of an aquatic animal information storage unit) 119. To be equipped with. A non-volatile recording medium is suitable for the storage unit 110, but a volatile recording medium can also be used. Information acquired by each part of the processing unit 150 as described later is stored in each part of the storage unit 110, but the process of storing the information or the like in each part of the storage unit 110 is not limited to this. .. For example, information or the like may be stored in the storage unit 110 via a recording medium, or information or the like transmitted via a communication line or the like may be stored in the storage unit 110. Alternatively, the information or the like input via the input device may be stored in the storage unit 110.

The captured image storage unit 111 stores the captured image acquired by the captured image acquisition unit 151, that is, the captured image captured by the camera 30, as will be described later. The photographed image is stored in association with the photographed information such as the date and time when the photograph was taken and the identifier that identifies the aquaculture pond. It should be noted that such shooting information may be recorded as metadata of a shot image such as a so-called Exif.

Note that, for example, the captured image storage unit 111 may also store the immersion image acquired by the immersion image acquisition unit 153 as described later.

The weight information storage unit 113 stores the weight information acquired by the weight information acquisition unit 152, that is, the weight information transmitted from the elevating device 40, as described later.

The environmental measurement value storage unit 115 stores the environmental measurement value transmitted from the elevating device 40. The environmental measurement value is stored in association with information such as the measured date and time and an identifier that identifies the aquaculture pond.

Note that the environment measurement value storage unit 115 may store information about the turbidity detected by the turbidity detection unit 156 as described later.

The feeding information storage unit 116 stores the feeding information transmitted from the feeding device 60.

The reference value storage unit 117 stores a predetermined reference value regarding the growth of shrimp.

The shrimp information storage unit 119 stores the shrimp information acquired by the shrimp information acquisition unit 157 as described later. The shrimp information is stored in association with, for example, information on the number of days of shrimp growth and information on the growth environment. In the present embodiment, the shrimp information is, for example, information on the amount of shrimp (for example, information on the amount of shrimp, information on the number of shrimp, information on the weight of shrimp, information on the size of shrimp, etc.). , Information on shrimp abnormalities, and information on shrimp appetite (eg, information on the speed of food consumption, information on excess or deficiency of feed, information on at least one of the color and size of the shrimp intestine, and food digestion. It contains at least one (such as information about the rate). The shrimp information is not limited to this, and may include information other than these.

The processing unit 150 includes a photographed image acquisition unit 151, a weight information acquisition unit 152, an immersion image acquisition unit 153, a position information acquisition unit 154, an image analysis unit 155, a turbidity detection unit 156, and a shrimp information acquisition unit (aquatic animal information acquisition). (Example) 157, feeding condition setting unit 158 is provided.

In addition to the processing performed by each of the above-mentioned units, the processing unit 150 controls the operation of the information processing device 100, and performs processing in cooperation with the local lifting device 40, the feeding device 60, the aeration device 70, and the like. Cooperation with the device on the local side can be performed by sending a command to each device or receiving information from each device.

The processing unit 150 can usually be realized from an MPU, a memory, or the like. The processing procedure of the processing unit 150 is usually realized by software, and the software is recorded on a recording medium such as ROM. However, it may be realized by hardware (dedicated circuit).

The photographed image acquisition unit 151 acquires a photographed image obtained by photographing the colander 20 raised from the shrimp farming pond with the camera 30. The captured image acquisition unit 151 acquires, for example, a captured image captured at a timing corresponding to the timing when the Zaru 20 is raised from the aquaculture pond by the elevating device 40. In other words, in the present embodiment, when a captured image is captured according to the operation of the elevating device 40, the captured image is transmitted to the information processing device 100. The captured image acquisition unit 151 receives the transmitted captured image.

The weight information acquisition unit 152 acquires weight information regarding the weight of the colander 20 raised from the aquaculture pond.

The immersion image acquisition unit 153 acquires the immersion image. The image during immersion is an image obtained by taking a picture of the Zaru 20 immersed in the fishpond with a camera 30 above the water surface of the fishpond, as will be described later. The immersion image is transmitted from, for example, the elevating device 40. The immersion image acquisition unit 153 receives the transmitted immersion image.

The position information acquisition unit 154 acquires the position information regarding the positions of the Zaru 20 in the vertical direction. In the present embodiment, for example, the position information acquisition unit 154 acquires the position information transmitted from the elevating device 40.

The image analysis unit 155 analyzes the photographed image stored in the photographed image storage unit 111, that is, the photographed image acquired by the photographed image acquisition unit 151. The image analysis unit 155 detects, for example, a region containing an object in the captured image, determines whether or not the detected region contains shrimp, and determines whether or not the detected region contains shrimp, based on the information stored in advance. Based on the result, various items are detected in the captured image. By analyzing the captured image, for example, the number of shrimp individuals, the size of shrimp, the color of shrimp, the presence or absence of residual food, the amount of residual food, and the like are detected.

Note that image analysis can be performed by, for example, a method using a machine learning algorithm or an analysis method such as pattern matching.

Specifically, for example, the image analysis unit 155 can perform image analysis as follows. That is, in advance, one or more contour information of shrimp (an example of pattern information), information about Zaru 20 (for example, information about ground color, pattern color, pattern size (interval, etc.), etc.), and residual information. Information about the food (for example, the color in the sampled state) and the like are stored in advance. Then, the image analysis unit 155 detects a region containing an object other than the colander from the captured image. The outline of the object in the detection area is extracted. The image analysis unit 155 compares the extracted contour with the contour information prepared in advance, and if the similarity is higher than a predetermined value, determines that the shrimp is in the detection region. In other words, when the detection area corresponds to the contour information prepared in advance, the image analysis unit 155 determines that the shrimp is in the detection area. Further, the image analysis unit 155 determines the interval in the image of the pattern of the colander 20 (the pattern of the colander 20 will be described later). Further, the image analysis unit 155 acquires the color of the region determined to be shrimp. Further, the image analysis unit 155 determines a region in the colander 20 that includes the color of the residual food. The image analysis unit 155 can detect the number of shrimp individuals based on the number of regions in which the shrimp is determined to be captured. Further, the image analysis unit 155 determines the size of the shrimp based on the size in the image of the object determined to be the shrimp, the spacing in the image of the pattern of the colander 20, and the information about the spacing of the actual pattern. Can detect the image. Further, the image analysis unit 155 can detect the color of the shrimp based on the color of the region determined to be the shrimp. In addition, the image analysis unit 155 can detect the presence or absence of residual food and the amount thereof depending on the presence or absence of the region containing the color of the residual food and its size in the colander 20. It is preferable that a plurality of types of shrimp contour information having different postures and sizes are stored. In addition, it is preferable that the contour information of the shrimp having the site where the malformation or the lesion has occurred is also stored. The image analysis unit 155 may use template information or the like indicating a part of the shrimp as pattern information instead of the contour information of the shrimp.

On the other hand, regarding the use of machine learning algorithms, for example, the following can be done. That is, a learning device that takes a photographed image as an input and outputs the number of shrimp individuals, the size of the shrimp, the color of the shrimp, the presence or absence of residual food, the amount of residual food, and the like is constructed by a machine learning algorithm. For example, two or more sets of information regarding the photographed image and information on the number of shrimp individuals, the size of the shrimp, the color of the shrimp, the presence or absence of residual food, the amount of residual food, etc. are acquired, and the acquired two sets are obtained. The above information is given to a module for configuring a learning device for machine learning, the learning device is configured, and the information is stored in the storage unit 110. The machine learning algorithm may be, for example, deep learning, random forest, SVR, or the like. Further, as the machine learning module, various modules such as a TensorFlow module, fastext, tiny_svm, various random Forest functions, and the like can be used. The learner can also be called a classifier.

Note that such a machine learning algorithm may be partially used, such as when determining whether or not the region containing an object in a captured image is a region containing shrimp. For example, when determining whether or not a shrimp is contained in a region, a learning device that inputs an image of the region containing an object in the captured image and outputs information indicating whether or not the region is a shrimp. Is constructed by a machine learning algorithm. For example, two or more sets of information of an image of an area and information on whether or not the area contains shrimp are acquired, and the acquired two or more sets of information constitute a machine learning learner. The learning device may be provided to the module for storage, and may be stored in the storage unit 110. In this case, the image analysis unit 155 can determine whether or not the detected region contains shrimp based on the learner (an example of information stored in advance).

The turbidity detection unit 156 detects the turbidity of the aquaculture pond based on the immersion image acquired by the immersion image acquisition unit 153. In the present embodiment, the turbidity detection unit 156 further detects the turbidity based on the position information acquired by the position information acquisition unit 154. Specifically, for example, the turbidity detection unit 156 determines whether or not the colander 20 satisfies a predetermined visibility condition in the immersion image. As the visual condition, for example, a threshold value such as a brightness difference between the shadow of 20 colanders in water and other regions may be defined, but the visual condition is not limited to this. The turbidity detection unit 156 acquires the water depth of the colander 20 when the visible condition is no longer satisfied for the colander 20 based on the position information detected by the position information acquisition unit 154. Then, the turbidity corresponding to the water depth is detected based on the information stored in advance in which the water depth and the turbidity are associated with each other. The deeper the water depth of the Zaru 20 when the visibility condition is no longer satisfied, the lower the turbidity (clearer).

The method is not limited to such a detection method. For example, the turbidity detection unit 156 may have a colander 20 at a predetermined position (for example, a predetermined descent position where the colander 20 is lowered at the time of sampling). With respect to the image during immersion, the brightness of 20 portions of the colander in the image during immersion may be detected, and the turbidity may be detected based on the detected value. In this case, for example, information for associating the brightness and turbidity of the 20 parts of the colander may be stored in advance. The turbidity detection unit 156 can obtain the turbidity corresponding to the brightness of the 20 parts of the colander in the image during immersion based on the stored information. That is, the higher the brightness, the lower the turbidity (clearer).

The shrimp information acquisition unit 157 acquires shrimp information regarding shrimp in the aquaculture pond based on the analysis result of the image analysis unit 155. The shrimp information acquisition unit 157 may acquire the analysis result of the image analysis unit 155 as it is as shrimp information, or acquire the information obtained by further performing calculation or other statistical processing based on the analysis result as shrimp information. You may. A specific example of acquiring shrimp information will be described below. When obtaining shrimp information based on the photographed image obtained by sampling, the shrimp information of the entire aquaculture pond may be appropriately converted and obtained in consideration of the area and volume of the aquaculture pond. The conversion may not be performed.

In acquiring the shrimp information, the shrimp information acquisition unit 157 is based on the shrimp information (past shrimp information) acquired so far and the shrimp information (current shrimp information) acquired this time. The growth state of the shrimp in the aquaculture pond may be determined. For example, a shrimp growth abnormality such as a low shrimp growth rate from the time when the past shrimp information is acquired to the time when the shrimp information is acquired this time may be determined, and that fact may be acquired as the shrimp information.

The shrimp information acquisition unit 157 may acquire shrimp information based on, for example, the image analysis result of the image analysis unit 155 and the weight information acquired by the weight information acquisition unit 152. That is, for example, the shrimp information acquisition unit 157 can obtain the number of sampled shrimp individuals (number of animals), the amount of feed left uneaten by the shrimp (residual feed amount), and the like as the analysis result of the image analysis. .. Then, the shrimp information acquisition unit 157 makes a calculation based on the information and the weight information, that is, the weight of the solid matter taken out from the aquaculture pond by sampling, or uses a predetermined table or the like. The ABW (average weight) of shrimp can be calculated. Moreover, since the ABW of the shrimp can be acquired, the shrimp information acquisition unit 157 can determine the biomass of the shrimp in the aquaculture pond.

Further, the shrimp information acquisition unit 157 may acquire the shrimp information obtained based on the environmental measurement value measured by the environment sensor 81, for example. That is, when dissolved oxygen is obtained as an environmental measurement value, the shrimp information acquisition unit 157 calculates based on the rate of decrease in dissolved oxygen (the amount of decrease in dissolved oxygen in a predetermined period) and the number of individuals. The growth state (size, ABW, etc.) of shrimp can be determined by using a predetermined table or the like. This is because as the shrimp grows, the amount of oxygen consumed increases and the rate of decrease in dissolved oxygen increases. In addition, the biomass of shrimp in the aquaculture pond may be determined based on the rate of decrease in dissolved oxygen.

The shrimp information acquisition unit 157 may acquire the shrimp information by using the same type of shrimp information obtained by a plurality of methods. For example, the shrimp information acquisition unit 157 obtains the shrimp ABW acquired based on the image analysis result and the weight information and the shrimp ABW acquired based on the rate of decrease in dissolved oxygen and the number of individuals, and averages both of them. You may try to acquire the ABW of the shrimp by doing so.

Further, the shrimp information acquisition unit 157 provides information on excess or deficiency of the feed amount based on, for example, the feed supply timing (feeding timing) by the feeding device 60 and the shooting timing of the captured image analyzed by the image analysis unit 155. , Shrimp information including information on shrimp intestinal color, size, and feed digestibility may be obtained. Further, the shrimp information acquisition unit 157 may acquire shrimp information based on, for example, the amount of feed supplied to the aquaculture pond and the analysis result of the image analysis unit 155. For example, even if the amount of residual feed detected for the captured image is the same, the longer the interval from the feed supply timing to the capture timing of the captured image, the higher the possibility that the feed amount is excessive. As a matter of fact, it is possible to make a judgment regarding the amount of feed. Therefore, it is possible to accurately provide information on the excess or deficiency of the amount of feed. In the present embodiment, the elevating device 40 raises and lowers the Zaru 20 according to the feeding timing, so that a photographed image of the photographing timing according to the feeding timing can be obtained. This makes it possible to easily and accurately adjust the feeding amount as described later.

Further, the shrimp information acquisition unit 157 may, for example, determine whether or not there is a shrimp corresponding to a predetermined abnormality pattern based on the analysis result of the image analysis unit 155, and acquire information on the abnormality of the shrimp. Good. For example, as a result of image analysis, the shrimp information acquisition unit 157 shows signs of illness such as an enlarged specific organ, a different swimming behavior or posture from the average shrimp, or having a malformation. It is determined whether or not there is a shrimp (abnormal shrimp) corresponding to the predetermined abnormal pattern shown. Such a determination may be made, for example, based on the result of the shrimp information acquisition unit 157 performing image analysis using the pattern information related to the abnormality stored in advance by the image analysis unit 155. Further, the shrimp information acquisition unit 157 and the image analysis unit 155 use the machine learning algorithm as described above to input a photographed image or an image of a region containing shrimp and output an abnormal pattern as an output. It may be done using a vessel. Then, when there is a shrimp corresponding to the abnormal pattern, the shrimp information acquisition unit 157 acquires, for example, information that the abnormal shrimp exists in the fishpond as shrimp information. When the number or abundance ratio of abnormal shrimp exceeds a predetermined threshold value, the shrimp information acquisition unit 157 may acquire information indicating the existence of abnormal shrimp as shrimp information.

FIG. 5 is a diagram showing an example of shrimp sampled by the shrimp farming support system 1.

FIG. 5 shows a part of a photographed image of the sampled shrimp. Further specific examples of the anomaly pattern include, for example, the following.

For example, in FIG. 5, it is a good health condition that the size of the biliary pancreatic duct under the shrimp head (the part indicated by the reference numeral S01) is large and the peripheral part is white like the shrimp indicated by the reference numeral S2. Is shown.

If the shrimp intestine (the part indicated by the symbol S02) is black, it can be said that the digestion of the food is not completed. It can be said that the thicker the black intestine, the more food it consumes. In FIG. 5, it can be seen that both the shrimp represented by the symbol S1 and the shrimp represented by the symbol S2 are ingesting a large amount of food and are being digested. Therefore, it is possible to calculate the digestibility of food by image analysis of the intestinal condition of shrimp.

In addition, the low transparency of the shrimp's body and the reddish tail of the shrimp indicate that the health condition is deteriorating.

The feeding condition setting unit 158 sets the feeding conditions related to the supply of feed by the feeding device 60 based on the shrimp information acquired by the shrimp information acquisition unit 157. More specifically, for example, the feeding condition setting unit 158 feeds the feeding condition based on the comparison result between the reference value stored in the reference value storage unit 117 and the shrimp information acquired by the shrimp information acquisition unit 157. To set. For example, the feeding condition setting unit 158 compares the current shrimp ABW based on the acquired shrimp information with the ABW corresponding to the current DOC obtained using the reference value, and compares the shrimp growth status in the aquaculture pond. However, it determines whether it is faster or slower than the general shrimp indicated by the reference value. Then, based on the determination result, it is possible to determine whether to increase or decrease the feeding amount, and to reset the feeding conditions.

Here, the feeding conditions include a condition related to the feed supply timing and a condition related to the feed supply amount. Regarding the conditions regarding the feed timing, when the feed amount is increased, for example, the next feed supply timing can be advanced or the number of feeds per predetermined period can be increased. Regarding the condition regarding the feed supply amount, when the feed amount is increased, for example, the feed amount at one feeding opportunity can be increased. If the amount of feed is to be reduced, the reverse of these settings may be set.

The information output unit 170 outputs information by, for example, transmitting information stored in the storage unit 110 to an external device. In the present embodiment, as will be described later, when there is information to be notified to a user such as a worker, the information output unit 170 notifies the user by transmitting the information to the user terminal device 910, for example. can do. The information output unit 170 may perform notification in other output modes (paper printing, display on a display, transmission of e-mail, etc.) as described above.

The communication unit 190 connects the information processing device 100 to the network and controls the information processing device 100 so that it can communicate with other devices connected to the network. As a result, the information processing device 100 can send and receive information to and from the user terminal device 910 and the local device, for example.

In the present embodiment, when the above information is summarized, for example, the following can be obtained as shrimp information. That is, as a result of image analysis, information such as shrimp size (size), number of shrimp individuals, shrimp weight, shrimp image and shrimp shape, color, etc., number of dead shrimp (number of dead shrimp), malformation It is possible to obtain the number of shrimp having. Further, the environmental measurement value such as dissolved oxygen may be acquired as one of the shrimp information. In addition, by further processing information based on the results of image analysis and environmental measurement values, more accurate shrimp weight and shrimp size can be obtained, shrimp diseases can be detected, and shrimp appetite can be obtained. Can be evaluated. In addition, by evaluating the appetite of shrimp, it is possible to detect a decrease in health condition when there is less appetite than usual. The shrimp information is not limited to this, and other information may be requested, or the above-mentioned information that is not acquired may be included.

In addition, the following information can be used when acquiring such shrimp information. That is, information such as the number of growing days (DOC), the type of shrimp, the number of juvenile shrimp introduced, the amount of feed, the weather history, the water temperature history, the dissolved oxygen history, the water quality history, and the turbidity history can be used. By accurately acquiring this information and using it for acquiring the shrimp information, more accurate shrimp information can be acquired. As the information that can be used when acquiring the shrimp information, the information input by the worker or the like may be used. Further, the output result of the environment sensor 81 or the like may be used for the water temperature history, the dissolved oxygen history, the water quality history, and the like. In addition, the result of image analysis of the captured image and the information transmitted from the feeding device 60 and the elevating device 40 may be used.

FIG. 6 is a diagram showing the Zaru 20 used in the shrimp farming support system 1. FIG. 7 is a diagram schematically showing an example of a part of a photographed image handled by the shrimp farming support system 1.

As shown in FIG. 6, the colander 20 has a flat substantially disc-like shape in the present embodiment. In addition, in this embodiment, the shape of the colander 20 is shown in a simplified manner in other figures.

The Zaru 20 has a pattern (reference numeral M) that can be photographed by the camera 30. As the pattern, for example, a grid-like pattern having a predetermined interval (for example, 10 mm or the like) is attached.

By using the Zaru 20 with such a pattern, the size of the shrimp can be measured more accurately. That is, as shown in FIG. 7, the grid spacing that can be grasped by analyzing the captured image is a known predetermined value. Therefore, the image analysis unit 155 can detect the actual size of the shrimp with high accuracy by detecting the size of the shrimp in the captured image as a ratio with the interval of the grid. Further, since the upper surface of the Zaru 20 has a pattern, the camera 30 can be easily calibrated before sampling, and a photographed image can be photographed under accurate photographing conditions.

FIG. 8 is a diagram schematically showing another example of a part of the photographed image handled by the shrimp farming support system 1.

The pattern is not limited to the above-mentioned grid pattern, and various patterns are used. For example, as shown in FIG. 8 as an example of a part of the captured image, a checkerboard pattern of a predetermined size may be attached to the colander 20. Further, a part of the colors of the grid pattern may be different colors. Further, it may be a pattern of a predetermined size (polka dot pattern, star pattern, hatching of a predetermined interval or line width, etc.) or a pattern. In short, the above-mentioned effect can be obtained by adding a pattern to the colander 20 so that the scale can be grasped when the image taken by the camera 30 is analyzed, or by making the pattern suitable for calibrating the camera 30. Can be obtained.

As the camera 30, for example, a monocular digital still camera or the like can be used in the present embodiment. As described above, since the colander 20 in the present embodiment has a pattern that serves as a reference for size detection, it is possible to accurately detect the size of the shrimp even when a monocular camera is used. ing. Even when the colander 20 is not patterned, for example, by using a compound-eye camera (stereo camera) as the camera 30, the size of the shrimp can be detected with higher accuracy based on the captured image. ..

FIG. 9 is a diagram showing an example of a photographed image handled by the shrimp farming support system 1.

In FIG. 9, as indicated by the reference numeral S, two shrimp are included as a result of sampling. In addition, residual food is included in the upper part of FIG. 9, as indicated by the symbol SR. By performing image analysis on such a captured image by the image analysis unit 155, information such as the number, size, and color of the shrimp pulled up by sampling can be obtained as the analysis result. The shrimp information acquisition unit 157 can acquire information such as the size and color of the shrimp as shrimp information of the shrimp in the aquaculture pond. In addition, shrimp information such as the number of shrimp in the aquaculture pond and the amount of biomass can be obtained by performing calculations and statistical processing based on the number and size of the acquired shrimp.

FIG. 10 is a flowchart showing the overall flow of operations performed by the shrimp farming support system 1.

As shown in FIG. 10, in the shrimp farming support system 1, the worker can receive shrimp farming support by performing the following operations. The following processing is performed by the information processing device 100 (or its processing unit 120) or another device that operates in response to a command from the information processing device 100, but is not limited thereto.

(Step S11) First, the information processing device 100 determines whether or not it has accepted the input of information by the user or has received the information transmitted from another device. If the input is accepted or the information is received, the process proceeds to step S12, and if not, the process returns to step S11.

(Step S12) The information processing device 100 stores the input-accepted information and the received information in the storage unit 110.

(Step S13) The information processing device 100 acquires feeding conditions. The feeding condition may be acquired from the feeding device 60, or the feeding condition set by the feeding condition setting unit 158 may be acquired inside the information processing device 100.

(Step S14) The information processing device 100 determines whether or not the feeding timing has arrived. If the feeding timing has arrived, the process proceeds to step S15, and if not, the process proceeds to step S16.

(Step S15) The information processing device 100 and the feeding device 60 feed.

(Step S16) The information processing device 100 and the elevating device 40 perform sampling.

(Step S17) The information processing device 100 performs shrimp information analysis processing. As a result, shrimp information can be obtained.

(Step S18) The information processing device 100 performs reflection processing based on the shrimp information. When the process is completed, the process returns to step S11.

In addition, when the aquaculture is completed, such an operation may be terminated.

FIG. 11 is a flowchart illustrating feeding performed by the shrimp farming support system 1.

Feeding is executed by, for example, the feeding device 60 (more specifically, the control unit 67 of the feeding device 60) when a command to execute feeding is transmitted from the information processing device 100 to the feeding device 60. Will be done. It should be noted that the feeding device 60 executes feeding when it is determined that a predetermined feeding timing has arrived based on the set feeding conditions (feeding conditions stored in the feeding condition storage unit 68). May be good.

(Step S31) The feeding device 60 acquires the feeding conditions stored in the feeding condition storage unit 68.

(Step S32) The feeding device 60 measures the feed to be supplied based on the conditions related to the feeding amount defined in the feeding conditions by using the measuring unit 63. As a result, the supplied feed is taken out from the feed tank 61.

(Step S33) The feeding device 60 drives the driving unit 66 to spray the extracted feed to the aquaculture pond by the spraying mechanism 65.

(Step S34) The feeding device 60 records feeding information. The control unit 67 transmits the feeding information to the information processing device 100. The information processing device 100 receives the feeding information and stores it in the feeding information storage unit 116.

When step S34 is completed, feeding is completed and the process returns to FIG.

FIG. 12 is a flowchart illustrating sampling performed by the shrimp farming support system 1.

Sampling is performed by, for example, the lifting device 40 (more specifically, the control unit 47 of the lifting device 40) when a command to execute sampling is transmitted from the information processing device 100 to the lifting device 40. Will be done. In the present embodiment, the information processing apparatus 100 issues a command to execute sampling according to a predetermined schedule. More specifically, the information processing apparatus 100 issues a command to execute sampling when a predetermined time elapses (an example of a predetermined schedule) after feeding is performed according to the schedule determined by the feeding conditions. It is configured as follows.

The command to execute sampling is not limited to this. For example, the information processing apparatus 100 may be configured to issue the command according to predetermined schedule information regardless of whether or not feeding has been performed. Further, the elevating device 40 may execute sampling when it is determined that a predetermined execution timing has arrived based on the set predetermined schedule information.

(Step S111) When sampling is started, the elevating device 40 first calibrates the camera 30 with the colander 20 in a predetermined standby position. In the calibration, the camera 30 adjusts the setting of the camera 30 so that the shooting conditions such as the exposure state become a predetermined degree while shooting the colander 20. Note that calibration does not have to be performed.

(Step S112) The elevating device 40 drives the drive unit 45 to rotate the elevating mechanism 41, and lowers the colander 20 to a predetermined descent position. The predetermined descent position is set to, for example, a position where the colander 20 and the environment sensor 81 are immersed in the aquaculture pond.

(Step S113) The elevating device 40 acquires the environmental measurement value output from the environment sensor 81. The environmental measurement value is transmitted to the information processing device 100 and stored in the environmental measurement value storage unit 115.

(Step S114) The elevating device 40 determines whether or not to start raising the colander 20. For example, it can be determined that the raising of the Zaru 20 is started when a predetermined time elapses after the completion of step S112, but the present invention is not limited to this. If it is determined that the raising of the colander 20 is to be started, the process proceeds to step S115, and step S114 is repeated until then.

(Step S115) The elevating device 40 drives the drive unit 45 to rotate the elevating mechanism 41, and raises the colander 20 to a predetermined standby position.

(Step S116) The lifting device 40 acquires the weight information output from the weight sensor 83. The weight information is transmitted to the information processing device 100 and stored in the weight information storage unit 113.

(Step S117) The elevating device 40 causes the camera 30 to take a picture of the colander 20. The captured image obtained thereby is transmitted to the information processing device 100.

(Step S118) In the information processing device 100, the captured image acquisition unit 151 stores the captured image transmitted from the elevating device 40 in the captured image storage unit 111.

(Step S119) The elevating device 40 performs a return operation for removing the contents of the colander 20. The return operation may not be performed. For example, the worker may remove the contents of Zaru 20.

When step S119 is completed, sampling is completed and the process returns to the process shown in FIG.

FIG. 13 is a flowchart illustrating the shrimp information analysis process performed by the shrimp farming support system 1.

The shrimp information analysis process is executed in the information processing device 100, for example, when sampling is executed and the captured image is stored in the captured image storage unit 111. The information processing apparatus 100 may execute the shrimp information analysis process, for example, periodically according to a predetermined schedule.

(Step S131) When the shrimp information analysis process is started, the image analysis unit 155 reads the photographed image stored in the photographed image storage unit 111 to be processed. For example, the captured image stored after the time when the shrimp information analysis process was executed last time is read.

(Step S132) The image analysis unit 155 performs image analysis on the read captured image. Image analysis is performed, for example, as described above. As a result, analysis results such as the size and number of shrimp, the color and size of the intestine of shrimp, and the amount of residual food can be obtained.

(Step S133) The shrimp information acquisition unit 157 acquires shrimp information based on the image analysis result and the stored information. The acquisition of shrimp information is performed, for example, as described above. As a result, for example, shrimp information such as shrimp population, shrimp weight, shrimp size, shrimp abnormality information, food digestibility, and shrimp appetite information is acquired.

(Step S134) The shrimp information acquisition unit 157 stores the acquired shrimp information in the shrimp information storage unit 119.

When step S134 is completed, the shrimp information analysis process is completed, and the process returns to the process shown in FIG.

FIG. 14 is a flowchart illustrating the reflection process performed by the shrimp farming support system 1.

The reflection process is executed in the information processing device 100, for example, when the shrimp information analysis process is completed and the acquired shrimp information is stored in the shrimp information storage unit 119. The information processing apparatus 100 may execute the reflection process, for example, periodically according to a predetermined schedule.

(Step S151) The processing unit 150 reads the shrimp information from the shrimp information storage unit 119.

(Step S152) The processing unit 150 determines whether or not the predetermined notification condition is satisfied based on the read shrimp information and the like. If it is determined that the notification condition is satisfied, the process proceeds to step S153, and if not, the process proceeds to step S154.

Here, various notification conditions can be set. For example, when there is information indicating that the shrimp in the aquaculture pond is abnormal as the shrimp information, it may be determined that the notification condition is satisfied. Further, when the appetite of the shrimp is low, it may be determined that the notification condition is satisfied. For example, the appetite of shrimp when the amount of residual food is more than the specified amount or when it is judged from the color and size of the intestine of the shrimp that the food remains undigested after a predetermined time has passed after feeding. Can be judged to be low. Further, when the environmental measurement value exceeds a predetermined threshold value, it may be determined that the notification condition is satisfied. That is, for example, it is preferable to set the notification conditions so that it is judged that the notification conditions are met when the environment of the aquaculture pond is deteriorated or there is a possibility that there is a problem with the growth of shrimp.

(Step S153) The processing unit 150 causes the information output unit 170 to execute the notification. For example, by notifying the user of the reason for conforming to the notification conditions, it is possible to notify the user to that effect and prompt the user to take action. The notification method may be appropriately set as described above. In step S152, it is determined that the notification condition is always satisfied, and in step S153, notification items related to the shrimp information at that time (for example, shrimp growth status, environment state of the aquaculture pond, etc.) are always notified to the user. You may do so.

(Step S154) The processing unit 150 determines whether or not the feeding amount is excessive. For example, when the amount of residual food is equal to or greater than the specified amount after a predetermined time has passed after feeding, or when it is judged from the color and size of the intestine of the shrimp that the food remains undigested, the amount of feed is increased. It should be judged that it is excessive. If it is determined that the feeding amount is excessive, the process proceeds to step S155, and if not, the process proceeds to step S156.

(Step S155) The feeding condition setting unit 158 changes the feeding condition so as to reduce the feeding amount. The changed feeding condition is transmitted to the feeding device 60 and stored in the feeding condition storage unit 68. For example, the feeding amount at one time may be reduced by a predetermined amount or a predetermined ratio, or the feeding timing interval may be delayed by a predetermined time. By changing the feeding conditions by a predetermined degree, it is possible to prevent a sudden change in the feeding amount from occurring. The process proceeds to step S156.

(Step S156) The processing unit 150 determines whether or not the feeding amount is insufficient. For example, when the amount of residual food is less than the specified amount after a predetermined time has passed after feeding, or when it is judged that the food has been digested based on the color and size of the intestine of the shrimp, the amount of feed is insufficient. It should be judged that it is doing. If it is determined that the amount of feed is insufficient, the process proceeds to step S157, and if not, the process proceeds to step S158.

(Step S157) The feeding condition setting unit 158 changes the feeding condition so as to increase the feeding amount. The changed feeding condition is transmitted to the feeding device 60 and stored in the feeding condition storage unit 68. For example, the feeding amount at one time may be increased by a predetermined amount or a predetermined ratio, or the feeding timing interval may be shortened by a predetermined time. By changing the feeding conditions by a predetermined degree, it is possible to prevent a sudden change in the feeding amount from occurring. The process proceeds to step S158.

(Step S158) The processing unit 150 determines whether or not the oxygen concentration, that is, the dissolved oxygen is lower than the first oxygen threshold. The first oxygen threshold is preferably set slightly higher than the minimum value of dissolved oxygen required for the healthy growth of a predetermined biomass of shrimp. When it is determined that the oxygen concentration is lower than the first oxygen threshold, the process proceeds to step S159, and if not, the process proceeds to step S160.

(Step S159) The information processing device 100 transmits a command to the aeration device 70, and causes the aeration device 70 to execute aeration. As a result, it is possible to prevent the state in which the dissolved oxygen in the aquaculture pond is insufficient from continuing. The process proceeds to step S160.

(Step S160) The processing unit 150 determines whether or not the oxygen concentration, that is, the dissolved oxygen is higher than the second oxygen threshold. The second oxygen threshold is a value higher than the first oxygen threshold. When it is determined that the oxygen concentration is higher than the second oxygen threshold value, the process proceeds to step S161, and if not, the reflection process ends.

(Step S161) The information processing device 100 transmits a command to the aeration device 70, and causes the aeration device 70 to stop the aeration. As a result, it is possible to maintain a state in which dissolved oxygen is surely secured, prevent unnecessary aeration from being performed, and promote energy saving.

As described above, in the first embodiment, the shrimp farming support system 1 automatically performs sampling to acquire shrimp information. Therefore, the shrimp information in the aquaculture pond can be easily obtained. The shrimp information is acquired by performing image analysis based on the captured image, or is acquired based on the result of image analysis and other information. Therefore, more accurate shrimp information can be obtained.

In addition, in the shrimp farming support system 1, reflection processing is executed according to the acquired shrimp information. Since the feeding conditions are changed by the reflection process and the subsequent feeding is performed based on the changed feeding conditions, appropriate feeding can be performed according to the growth situation of the shrimp. Therefore, the aquaculture pond can be maintained in a good environment, and the shrimp can be sufficiently fed.

Conventionally, the following method has been used as an example when setting the feeding amount. That is, first, the biomass is calculated based on the feed amount under the assumption that a predetermined ratio of the biomass of the shrimp is an appropriate feed amount. That is, the reference value of ABW corresponding to DOC is calculated. Then, the required feeding amount is calculated with respect to the reference value of ABW (for example, it may be calculated using a predetermined table). Then, the amount of food supplied to the colander 20 is calculated based on the ratio of the area ratio of the entire fishpond to the colander and the amount of food supplied to the entire pond. Then, the amount of residual food in the entire pond is calculated based on the ratio of the amount of residual food on the colander 20 to the amount of food supplied on the colander 20 and the amount of food supplied to the entire pond. Then, the amount of food consumed by the entire pond is given by subtracting the amount of residual food from the amount of food dropped, and the number of shrimp can be estimated based on the amount of food consumed by the entire pond. it can. Then, since the reference value of the ABW of the shrimp is given, the biomass of the shrimp can be calculated by multiplying the number of individuals of the shrimp by the ABW.

On the other hand, in the present embodiment, highly accurate shrimp biomass can be obtained based on the result of actual sampling.

The amount of feed to the shrimp is determined by dividing the amount of feed per day, which has been determined in advance, by the number of times of feed per day, but the amount of feed per time is determined by utilizing the shrimp farming support system 1. It is possible to automatically optimize the amount of feed for each. For example, when the Nth feeding is performed, the colander is automatically lifted xx minutes after feeding and xx + m minutes later, the presence or absence of residual feeding is determined from the captured image, and the preset next feeding amount is adjusted. Specifically, for example, if there is no residual food after xx minutes, or if it is judged from the color and size of the shrimp intestine that the food has already been digested, the N + 1th feeding amount is set to the Nth feeding amount. + Y% with respect to the amount of feed. If there is residual food after xx minutes but no residual food after xx + m, or if it is judged from the color and size of the shrimp intestine that the food has already been digested, adjust the amount of feed to 0. % (Does not change the amount of feed). If there is still food left after xx + m, or if it is judged from the color and size of the shrimp intestine that the food remains undigested, it is set to -Y%. Similarly, the daily feeding amount can be adjusted by changing the feeding interval instead of adjusting the feeding amount at one time. By adjusting the daily feeding amount in this way so that it is optimized, the superfeeding can be achieved in a state close to 0, which is useful for water quality management, and the daily feeding amount with the automatic feeder = By using the amount of shrimp fed in the entire pond, it can be used for accurate measurement of biological quantity.

Here, in the present embodiment, the camera 30 may be used to detect the turbidity of the aquaculture pond.

FIG. 15 is a flowchart illustrating the turbidity detection process performed by the shrimp farming support system 1.

In the turbidity detection process, for example, when a command to execute sampling is transmitted from the information processing device 100 to the elevating device 40, a command is issued to perform the turbidity detection process algae accordingly. It may be.

(Step S191) When the turbidity detection process is started, the elevating device 40 first calibrates the camera 30 with the colander 20 in a predetermined standby position.

(Step S192) The elevating device 40 drives the drive unit 45 to rotate the elevating mechanism 41, and gradually lowers the colander 20.

(Step S193) Further, the elevating device 40 detects the water surface position of the aquaculture pond. Various methods can be used to detect the water surface position. For example, the detection may be based on a change in the measured value of the weight sensor 83, or the water surface position may be detected by using another sensor. Further, the water surface position may be detected based on the information input from the user. The water surface position serves as a reference for the water depth used when measuring turbidity.

(Step S194) The immersion image acquisition unit 153 acquires the immersion image of the colander 20 that has begun to be immersed in the aquaculture pond.

(Step S195) The turbidity detection unit 156 determines whether or not the colander 20 satisfies a predetermined visibility condition based on the image during immersion. When it is determined that the visibility condition is satisfied, the process returns to step S193. If not, the process proceeds to step S196.

(Step S196) The position information acquisition unit 154 acquires the vertical position of the colander 20. That is, the water depth of the colander 20 when the visible condition is no longer satisfied is detected.

(Step S197) The turbidity detection unit 156 acquires the turbidity based on the value of the water depth of the colander 20 when the visible condition is no longer satisfied. For example, it has information in which the water depth and the turbidity are associated in advance, and the turbidity corresponding to the water depth can be detected based on the information and the water depth.

Note that the processing in this embodiment may be realized by software. Then, this software may be distributed by software download or the like. Further, this software may be recorded on a recording medium such as a CD-ROM and disseminated. The software that realizes the information processing device 100 in the present embodiment is the following program. That is, this program uses a computer to acquire a photographed image obtained by photographing a shrimp raised from a shrimp farm with a camera, and a photographed image acquired by the photographed image acquisition unit. This is a shrimp farming support program for operating as a shrimp information acquisition unit that acquires shrimp information about shrimp in a farming pond based on the image analysis unit to be analyzed and the analysis results of the image analysis unit.

(Embodiment 2)

The outline of the second embodiment will be described with respect to the parts different from the first embodiment described above. In the second embodiment, the information processing device 100, the feeding device 60, and the elevating device 240 having the same internal configuration as that of the first embodiment are used. The present embodiment is different from the first embodiment in that the elevating device 240 is provided inside the feed tank 61 of the feeding device 60.

FIG. 16 is a diagram showing the configuration of the elevating device 240 according to the second embodiment.

That is, in the second embodiment, the camera 30 is arranged inside the feed tank 61 so that it can be photographed downward. A hole (not shown) is formed in the lower part of the feed tank 61 so that the camera 30 can take a picture of the Zaru 20.

In the second embodiment, since the camera 30 is inside the feed tank 61 in this way, the photographed image taken by the camera 30 is less likely to be affected by wind and snow or the influence of sunlight. Therefore, highly accurate shrimp information can be obtained regardless of outdoor environmental factors.

Note that only the camera 30 may be configured to be located inside the feed tank 61.

(Embodiment 3)

The outline of the third embodiment will be described with respect to the parts different from the first embodiment described above. In the third embodiment, the information processing device 100, the feeding device 60, and the elevating device 340 having the same internal configuration as that of the first embodiment are used. The present embodiment is different from the first embodiment in that the elevating device 340 is provided under the feed tank 61 of the feeding device 60.

FIG. 17 is a diagram showing the configuration of the elevating device 340 according to the third embodiment.

That is, in the third embodiment, the camera 30 is arranged below the feed tank 61 so that it can be photographed downward. In other words, the camera 30 is arranged behind the feed tank 61. For example, the camera 30 can be attached to the Yakura for installing the feed tank 61.

In the third embodiment, since the camera 30 is under the feed tank 61 in this way, the photographed image taken by the camera 30 is less susceptible to the influence of wind and snow or the influence of sunlight. Therefore, highly accurate shrimp information can be obtained regardless of outdoor environmental factors.

Note that only the camera 30 may be configured to be located below the feed tank 61.

Alternatively, the camera 30 may be installed under the sunshade Yakura installed on the aquaculture pond so that the same effect can be obtained.

(Embodiment 4)

The outline of the fourth embodiment will be described with respect to the parts different from the first embodiment described above. In the fourth embodiment, an elevating device 440 is used, which is different from the first embodiment in the method of raising and lowering the 20.

FIG. 18 is a diagram showing the configuration of the elevating device 440 according to the fourth embodiment.

FIG. 18 shows a state in which sampling is performed by the elevating device 440 and the colander 20 and the environment sensor 81 are immersed in the aquaculture pond.

In the present embodiment, the elevating device 440 has an arm-shaped elevating mechanism 441 and a drive unit 445. The drive unit 445 is configured so that the elevating mechanism 441 is supported with respect to the foundation 442 at its root and the elevating mechanism 441 can be rotated with respect to the foundation 442. The drive unit 445 is composed of, for example, an electric motor, gears, and the like, but is not limited thereto.

A hanging string 43 for holding the colander 20 is attached to the tip of the elevating mechanism 441. The hanging string 43 is provided with, for example, an environment sensor 81 and a weight sensor 83. The weight sensor 83 can obtain the weight information of the colander 20. It should be noted that the weight information of the colander 20 may be obtained based on the magnitude of the stress generated in the elevating mechanism 441 and the magnitude of the load of the drive unit 445.

In the present embodiment, the camera 30 is attached, for example, near the tip of the elevating mechanism 441 so as to be able to shoot downward toward the colander 20.

FIG. 19 is a diagram showing the operation of the elevating device 440 at the time of sampling.

FIG. 19 shows a state in which the Zaru 20 immersed in the fishpond is pulled up from the fishpond as shown in FIG. That is, from the state shown in FIG. 18, the colander 20 can be pulled up to the standby position by driving the drive unit 445 and rotating the elevating mechanism 441 upward with respect to the foundation 442. In this state, by photographing the Zaru 20 with the camera 30 and obtaining a photographed image, the shrimp information can be easily acquired as in the above-described first embodiment.

By using such a so-called robot arm-shaped lifting device 440, it becomes possible to raise and lower the Zaru 20 and easily perform sampling. In addition, the same effect as that of the above-described first embodiment can be obtained in the present embodiment as well.

FIG. 20 is a diagram illustrating an elevating device 440 according to a modification of the fourth embodiment.

As shown in FIG. 20, in the fourth embodiment, the positional relationship between the camera 30 and the feed tank 61 of the feeding device 60 may be adopted so that the camera 30 is hidden behind. By doing so, it is possible to acquire highly accurate shrimp information regardless of outdoor environmental factors.

(Other)

The worker may feed. In this case, by notifying the worker of the feeding conditions, the worker can easily know the amount of feed to be supplied and the feeding timing. Further, it is preferable that the operator operates the user terminal device 910 to input information so that the amount of feed actually supplied to the information processing device 100 and the feeding timing are recorded.

Also, the worker may raise and lower the colander. In this case, it is preferable, but not limited to, the raised colander 20 is automatically photographed by the camera 30. For example, after the worker pulls up the Zaru 20, the camera 30 takes a picture of the Zaru 20 by himself, and the worker operates the user terminal device 910 or the like to transmit the photographed image to the information processing device 100. You may try to do it.

Between the image analysis of the captured image and the acquisition of shrimp information, the work by the worker intervenes, or the work by the worker and the processing performed by the information processing device are performed in parallel. It may be. For example, the information processing device may accept the input of information performed by the worker who has confirmed the captured image, and the shrimp information acquisition unit may acquire the shrimp information based on the received information. Specifically, for example, the worker who sees the photographed image may input the residual food amount, and the shrimp information acquisition unit may acquire the shrimp information based on the residual food amount input by the worker. Further, for example, information such as the presence / absence of an abnormality related to the sampled shrimp is input by the operator who has seen the captured image, and the information regarding the presence / absence of the input abnormality is acquired by the shrimp information acquisition unit as shrimp information. May be good. In this case, for example, the information processing device transmits the captured image and the analysis result of the captured image to the terminal device operated by the operator, and then the information transmitted from the terminal device operated by the worker is transmitted to the information processing device. Should be received. In addition, the result of image analysis of the captured image by the image analysis unit is transmitted to the worker as a provisional one, and the worker confirms whether or not the transmitted information is appropriate. You may do so. In this case, the shrimp information acquisition unit may acquire the shrimp information based on the image analysis result of the captured image confirmed to be appropriate by the operator. In addition, for example, the operator identifies the area of the object included in the captured image and annotates the attributes of the area (whether it is shrimp or residual food, etc.), and the result is Image analysis or the like may be performed based on the above. Even when the work by the worker intervenes or the work by the worker and the processing performed by the information processing device are performed in parallel in this way, the shrimp information is appropriately acquired based on the captured image. be able to.

Instead of a colander, a container such as a bucket or a tray may be used as a collector. For example, by using a sampling device such as a bucket that can sample the water of the aquaculture pond, it is possible to take a picture of aquatic animals such as shrimp while they are in the water. You can shoot without the shrimp and the like going wild. In addition, it is possible to acquire a photographed image showing the behavior in water and obtain shrimp information.

As the camera 30, a camera that captures a moving image may be used to obtain shrimp information by analyzing a moving image as a captured image. For example, shrimp may be detected in a moving image for a predetermined time, and the activity of the shrimp may be obtained as shrimp information by using the amount of movement of the shrimp or the like.

FIG. 21 is an overview view of the computer system 800 according to the above embodiment. FIG. 22 is a block diagram of the computer system 800.

In these figures, the configuration of a computer that executes the program described in the present specification to realize the information processing apparatus 100 and the like according to the above-described embodiment is shown. The above-described embodiment can be realized by computer hardware and a computer program executed on the computer hardware.

The computer system 800 includes a computer 801 including a CD-ROM drive, a keyboard 802, a mouse 803, and a monitor 804.

In addition to the CD-ROM drive 8012, the computer 801 is connected to the MPU 8013, the bus 8014 connected to the CD-ROM drive 8012, the ROM 8015 for storing programs such as the bootup program, and the MPU 8013. It includes a RAM 8016 for temporarily storing program instructions and providing a temporary storage space, and a hard disk 8017 for storing application programs, system programs, and data. Although not shown here, the computer 801 may further include a network card that provides a connection to the LAN.

The program for causing the computer system 800 to execute the functions of the information processing apparatus and the like according to the above-described embodiment may be stored in the CD-ROM 8101, inserted into the CD-ROM drive 8012, and further transferred to the hard disk 8017. Alternatively, the program may be transmitted to the computer 801 via a network (not shown) and stored on the hard disk 8017. The program is loaded into RAM 8016 at run time. The program may be loaded directly from the CD-ROM 8101 or the network.

The program does not necessarily include an operating system (OS) that causes the computer 801 to execute the functions of the information processing apparatus and the like according to the above-described embodiment, or a third-party program and the like. The program need only include a portion of the instruction that calls the appropriate function (module) in a controlled manner to obtain the desired result. It is well known how the computer system 800 works, and detailed description thereof will be omitted.

In the above program, in the transmission step of transmitting information and the receiving step of receiving information, processing performed by hardware, for example, processing performed by a modem or interface card in the transmission step (only performed by hardware). Processing that is not done) is not included.

Further, the number of computers that execute the above program may be singular or plural. That is, centralized processing may be performed, or distributed processing may be performed.

Further, in each of the above embodiments, it goes without saying that the two or more communication means existing in one device may be physically realized by one medium.

Further, in each of the above-described embodiments, each process (each function) may be realized by centralized processing by a single device (system), or by distributed processing by a plurality of devices. (In this case, it is possible to grasp the entire system composed of a plurality of devices that perform distributed processing as one "device").

It goes without saying that the present invention is not limited to the above embodiments, and various modifications can be made, and these are also included in the scope of the present invention.

An embodiment may be configured by appropriately combining the above-mentioned plurality of embodiments. For example, the configuration itself is not limited to the above-described embodiment, and each component of the above-described embodiment may be appropriately replaced or combined with the component of another embodiment. In addition, some components and functions may be omitted from the above-described embodiments.

In addition, aquatic animals having the same configuration as that of the above embodiment and targeting other aquatic animals such as other crustacean animals different from shrimp, shellfish, and fish belonging to fish. An aquaculture support system may be configured.

As described above, the aquatic animal aquaculture support system according to the present invention has an effect that information on aquatic animals such as shrimp in the aquatic pond can be easily obtained, and is useful as an aquatic animal aquaculture support system or the like. is there.

1 Shrimp farming support system (an example of aquatic animal farming support system)
20 Zaru (an example of a collector)
30

Camera

40, 240, 340, 440 Lifting device 41,441 Lifting mechanism 43 Hanging string (an example of holding member)
45 Drive unit (example of drive unit)
47 Control unit 49 Communication unit 60 Feeding device 61 Feed tank 63 Measuring unit (an example of measuring unit)
65 Spraying mechanism (an example of supply unit)
66 Drive unit 67 Control unit 69 Communication unit 68 Feeding condition storage unit 70 Aeration device 76 Drive unit 77 Control unit 79 Communication unit 81 Environment sensor 83 Weight sensor 100 Information processing device 110 Storage unit 111 Photographed image storage unit 113 Weight information storage unit 115 Environment measurement value storage unit 117 Reference value storage unit 119 Shrimp information storage unit (an example of aquatic animal information storage unit)
150 Processing unit 151 Captured image acquisition unit 152 Weight information acquisition unit 153 Immersion image acquisition unit 154 Position information acquisition unit 155 Image analysis unit 156 Turbidity detection unit 157 Shrimp information acquisition unit (example of aquatic animal information acquisition unit)
158 Feeding condition setting unit 170 Information output unit 190 Communication unit

Claims

A photographed image acquisition unit that acquires a photographed image that is a still image or a moving image obtained by photographing a collector raised from an aquatic animal farming pond with a camera.
An image analysis unit that analyzes the captured image acquired by the captured image acquisition unit, and
An aquatic animal farming support system including an aquatic animal information acquisition unit that acquires aquatic animal information regarding aquatic animals in the aquatic pond based on the analysis result of the image analysis unit.
The image analysis unit detects a region including an object in the captured image, and determines whether or not the detected region contains aquatic animals based on the information stored in advance. The described aquatic animal farming support system.
The aquatic animal information includes information on the number of aquatic animals in the aquatic pond, information on the weight of aquatic animals, information on the size of aquatic animals, information on at least one of the intestinal color and size of aquatic animals, and aquatic animals. The aquatic animal farming support system according to claim 1 or 2, which comprises at least one of information on the digestibility of animal feed and information on aquatic animal abnormalities.
The aquatic animal aquaculture support system according to any one of claims 1 to 3, further comprising an elevating device for raising the collector from the pond after lowering the collector and immersing it in the pond.
The aquatic animal farming support system according to claim 4, wherein the photographed image acquisition unit acquires a photographed image taken at a timing corresponding to the timing when the collector is raised from the fishpond by the elevating device.
The aquatic animal aquaculture support system according to claim 4 or 5, wherein the elevating device raises and lowers the collector according to a predetermined schedule.
Further provided with a weight information acquisition unit for acquiring weight information regarding the weight of the collector raised from the fishpond.
The aquatic animal information acquisition unit obtains the aquatic animal information regarding the biological amount of the aquatic animals in the aquatic pond obtained based on the image analysis result of the image analysis unit and the weight information acquired by the weight information acquisition unit. The aquatic animal farming support system according to any one of claims 1 to 6 to be acquired.
The aquatic animal farming support system according to any one of claims 1 to 7, wherein the collector is provided with a pattern that can be photographed by the camera.
An immersion image acquisition unit that acquires an immersion image obtained by photographing the collector immersed in the culture pond with a camera above the water surface of the culture pond.
The aquatic animal farming support according to any one of claims 1 to 8, further comprising a turbidity detection unit that detects the turbidity of the fishpond based on the immersion image acquired by the immersion image acquisition unit. system.
Further equipped with an environment sensor that acquires environmental measurements related to the environment of the aquaculture pond,
The environmental sensor according to any one of claims 1 to 9, wherein the environment sensor is attached to the collector or a member attached to the collector so that the environment sensor can be immersed in the aquaculture pond together with the collector. Aquatic animal farming support system.
The aquatic animal according to claim 10, wherein the aquatic animal information acquisition unit acquires the aquatic animal information regarding the biological amount of the aquatic animal in the aquaculture pond obtained based on the environmental measurement value acquired by the environmental sensor. Aquaculture support system.
Further equipped with a feeding device for supplying feed to the pond,
Based on the feed supply timing by the feeding device and the shooting timing of the captured image analyzed by the image analysis unit, the aquatic animal information acquisition unit provides information on excess or deficiency of the feeding amount, the color of the intestine of the aquatic animal, and The aquatic animal farming support system according to any one of claims 1 to 11, which acquires the aquatic animal information including at least one of the information regarding at least one of the sizes and the information regarding the digestibility of the feed.
A feeding device that supplies feed to the pond,
Based on the aquatic animal information acquired by the aquatic animal information acquisition unit, the feeding condition setting unit for setting the feeding conditions related to the feed supply by the feeding device is further provided.
The aquatic animal farming support system according to any one of claims 1 to 11, wherein the feeding device supplies feed based on the feeding conditions set by the feeding condition setting unit.
The aquatic animal aquaculture support system according to claim 13, wherein the feeding condition includes at least one of a condition relating to a feed supply timing and a condition relating to a feed supply amount.
It also has a reference value storage unit that stores a predetermined reference value for the growth of aquatic animals.
The feeding condition setting unit sets the feeding condition based on the comparison result between the reference value stored in the reference value storage unit and the aquatic animal information acquired by the aquatic animal information acquisition unit. Item 3. The aquatic animal farming support system according to Item 13 or 14.
Further provided with a feed tank for storing the feed fed by the feeding device,
The aquatic animal farming support system according to any one of claims 12 to 15, wherein the camera is arranged under or inside the feed tank.
The aquatic animal information acquisition unit acquires the aquatic animal information based on the amount of feed supplied to the aquaculture pond and the analysis result of the image analysis unit, according to any one of claims 1 to 16. Aquatic animal aquaculture support system.
An aquatic animal information storage unit in which the aquatic animal information acquired by the aquatic animal information acquisition unit is stored in association with information on the number of days of growth of the aquatic animal and information on the growth environment.
Claims 1 to 17 for determining the current growth state of aquatic animals in the aquatic pond based on the past aquatic animal information and the current aquatic animal information stored in the aquatic animal information storage unit. The aquatic animal farming support system described in either.
An elevating device used in the aquatic animal farming support system according to any one of claims 4 to 6.
A holding member that holds the collector and
An elevating mechanism for elevating and lowering the sampler held by the holding member,
An elevating device including a drive unit for driving the elevating mechanism.
A feeding device used in the aquatic animal aquaculture support system according to any one of claims 12 to 16.
A feed tank for storing feed and
A measuring unit that measures the feed taken out from the feed tank and
A feeding device including a supply unit that supplies feed measured by the measuring unit to the pond.
The first step of taking a picture of the collector raised from the aquatic animal pond from above with a camera,
A second step of image analysis of the captured image obtained by the first step, and
A method for cultivating aquatic animals, which comprises a third step of acquiring aquatic animal information regarding the aquatic animals in the aquatic pond based on the image analysis result of the photographed image obtained in the second step.
Computer,
A photographed image acquisition unit that acquires a photographed image obtained by photographing a collector raised from an aquatic animal pond with a camera, and
An image analysis unit that analyzes the captured image acquired by the captured image acquisition unit, and
An aquatic animal farming support program for operating as an aquatic animal information acquisition unit that acquires aquatic animal information regarding aquatic animals in the aquatic pond based on the analysis result of the image analysis unit.