KR102597426B1 - System for wirelessly measuring impact of agricultural product - Google Patents

Abstract

It relates to a method and device for measuring the impact amount of agricultural products, the method comprising: generating image information by photographing the falling start position with at least one camera sensor disposed in the periphery of the falling start position; Generating impact information by sensing the impact amount at the moment of falling of the target agricultural product with at least one impact detection sensor disposed at the bottom of the falling start position; Determining the type of agricultural product based on the image information; And inputting the type of agricultural product, the image information, and the impact amount information into a first artificial neural network to output the degree of damage to the agricultural product, wherein the first artificial neural network includes the type of agricultural product, the degree of damage to the agricultural product, image information, and It may have been learned using impulse information as a dataset.

Description

Agricultural product impact force wireless measurement system {SYSTEM FOR WIRELESSLY MEASURING IMPACT OF AGRICULTURAL PRODUCT}

This application relates to a method and device for measuring the impact of agricultural products.

Agricultural products are materials produced through agriculture and include fruits, grains, vegetables, eggs, specialty crops, and flowers. Among them, the commercial value of each fruit is determined by its size, shape, surface scratches, and sweetness. Therefore, even for the same type of agricultural product, the price can vary greatly depending on the condition. If these agricultural products fall on the ground, their surface may be scratched and stained with dirt, which may reduce their product value. Additionally, if agricultural products are left unripe, taste problems occur and product value decreases. In this way, as more agricultural products fall, the yield of marketable agricultural products decreases, ultimately leading to a surge in agricultural prices, which can cause great damage to both farmers and consumers.

However, if fallen agricultural products do not have nutritional problems, there are many alternatives that can reduce the damage to farmers' profits, such as selling them at a low price or reselling them as processed foods such as jam. However, the conventional technology related to fallen agricultural products is a collection device. However, the technology to systematically commercialize fallen agricultural products is lacking.

The technology behind this application is disclosed in Korean Patent Publication No. 10-1901431.

The purpose of this application is to solve the problems of the prior art described above, and to provide a method and device for measuring the impact of agricultural products that can solve the problem of systematically commercializing fallen agricultural products.

However, the technical challenges sought to be achieved by the embodiments of the present application are not limited to the technical challenges described above, and other technical challenges may exist.

As a technical means for achieving the above-described technical problem, in the method of measuring the impact amount of agricultural products performed by the apparatus for measuring the impact amount of agricultural products according to an embodiment of the present application, the method of measuring the impact amount of agricultural products includes at least one device disposed in the periphery of the starting position of falling. generating image information by photographing the falling start position with a camera sensor; Generating impact information by sensing the impact amount at the moment of falling of the target agricultural product with at least one impact detection sensor disposed at the bottom of the falling start position; Determining the type of agricultural product based on the image information; And inputting the type of agricultural product, the image information, and the impact amount information into a first artificial neural network to output the degree of damage to the agricultural product, wherein the first artificial neural network includes the type of agricultural product, the degree of damage to the agricultural product, image information, and It can be learned using impulse information as a dataset.

According to an embodiment of the present application, the step of generating image information by photographing the falling start position with at least one camera sensor disposed in the periphery of the falling start position includes a plurality of sensors disposed in the periphery of the falling start position. Characterized in that it includes the step of generating a plurality of sensing information by sensing the periphery of the falling start position, and inputting the type of agricultural product, the image information, and the impact amount information into an artificial neural network to output the degree of damage to the agricultural product. The step includes inputting the plurality of sensing information, the type of agricultural product, the image information, and the impulse information into a second artificial neural network to output the degree of damage to the agricultural product, wherein the plurality of sensing information includes wind direction and speed information around the falling start location, soil wetness information, soil density information, light amount information, temperature information, and humidity information, and the second artificial neural network is configured to determine the plurality of sensing information and the fallen agricultural product. It can be learned using the type, damage degree of the fallen agricultural product, image information of the fallen agricultural product, and impact information of the fallen agricultural product as a dataset.

According to an embodiment of the present application, the method for measuring the impact amount of agricultural products includes calculating the degree of damage to the agricultural products by further considering the pressure applied to the target agricultural products by the pick and place device; Moving the target agricultural product based on the calculated degree of damage to the agricultural product; further comprising moving the target agricultural product based on the calculated degree of damage to the agricultural product, wherein the degree of damage to the agricultural product is within a first range. If present, moving the target agricultural product to the agricultural product waiting space; If the degree of damage to the agricultural product is within a second range, it may be characterized by including the step of moving the target agricultural product to an agricultural product processing space.

According to an embodiment of the present application, if the degree of damage to the agricultural product is within the first range, the step of moving the target agricultural product to the agricultural product waiting space includes arranging the target agricultural product by type within the agricultural product waiting space; Characterized in that the agricultural product waiting space has a plurality of sections that can be opened and closed, and the same type of agricultural product is arranged in each section, and in the agricultural product waiting space, the step of arranging the target agricultural product by type includes, It may be characterized by including the step of adjusting temperature, humidity, and ethylene concentration based on the type of agricultural product placed in the section and the degree of ripening of the agricultural product.

According to an embodiment of the present application, the step of adjusting the temperature, humidity, and ethylene concentration based on the type of agricultural product placed in the section and the degree of ripeness of the agricultural product is, if the degree of ripening of the agricultural product is within a preset range, the agricultural product Characterized in that it includes the step of transmitting sales information to the terminal of the agricultural product seller, and if the ripening degree of the agricultural product is within a preset range, the step of transmitting the sales information to the terminal of the agricultural product sales company includes: Upon receiving purchase information from the terminal, controlling the pick and place device based on the purchase information to grab at least one agricultural product and move it to a packaging device; packaging the at least one agricultural product by a packaging device; and transmitting transfer request information to the delivery company's terminal.

According to an embodiment of the present application, if the degree of damage to the agricultural product is within the second range, the step of moving the target agricultural product to the agricultural product processing space includes measuring the degree of damage to the target agricultural product using a camera sensor provided in the agricultural product processing space. judging step; cutting the target agricultural product based on the degree of damage; Storing the cut agricultural products in airtight boxes for each type; adjusting the temperature, humidity, and gas composition ratio of each type of airtight container according to the type and condition of the target agricultural product; It may be characterized by including the step of setting the target product in the sealing box for each type.

According to an embodiment of the present application, the step of setting a target product in an airtight box for each type includes receiving purchase information regarding the target product; Setting the target product based on type information, freshness information, purchase information, and unit price information for each product contained in the type-specific sealed box; Moving the target agricultural products contained in the sealed boxes for each type to a corresponding processing process based on the set target product; It may be characterized by including the step of processing the target agricultural product based on the set target product.

According to an embodiment of the present application, the step of processing the target agricultural product based on the set target product includes, if the target product is a dry agricultural product, preprocessing the target agricultural product to suit the purpose of the dried agricultural product; The pre-processed agricultural product is subjected to a pre-set temperature based on the browning level, freshness level, wetness level, type information, pulp-to-skin ratio, dietary fiber ratio, agricultural product temperature information, and purchase information regarding the target product. and manufacturing the dried agricultural products by applying wind of high intensity for a preset time. Adding sugar to the dried agricultural product manufactured based on the sugar content of the dried agricultural product and purchase information regarding the target product; Packaging the sugar-added dried agricultural product in a container based on purchase information about the target product; storing the dried agricultural products packaged in a container based on purchase information about the target product; And a step of delivering the dried agricultural products packaged in the container based on purchase information about the target product, wherein the step of manufacturing the dried agricultural products includes the drying degree of the manufactured dried agricultural products being set to a preset level. If it is above this level, it may be characterized by including the step of transferring it to an agricultural product powder processing process.

According to an embodiment of the present application, the step of processing the target agricultural product based on the set target product includes, if the target product is agricultural product powder, the target agricultural product and the dried agricultural product transferred to the agricultural product powder processing process are converted into agricultural product powder. Preprocessing steps to suit each purpose; The pre-processed target agricultural product and the dried agricultural product are subjected to a temperature and intensity preset based on the wetness level of the target agricultural product, type information, pulp to skin ratio, dietary fiber ratio, agricultural product temperature information, and purchase information regarding the target product. manufacturing the agricultural product powder by applying heat for a preset time and applying a preset pressure; Selectively adding nutrients to the produced agricultural product powder based on the composition ratio of the produced agricultural product powder and purchase information regarding the target product; Packaging the agricultural product powder in a container based on purchase information about the target product; Storing the agricultural product powder packaged in a container based on purchase information about the target product; and delivering the agricultural product powder packaged in the container based on purchase information regarding the target product.

According to an embodiment of the present application, the step of processing the target agricultural product based on the set target product includes, if the target product is jam, preprocessing the target agricultural product to suit the purpose of the jam; The pretreated agricultural product is subjected to heat at a preset temperature and intensity based on the pH level, sugar content, pectin level, wetness level, type information, flavor level, agricultural product temperature information, and purchase information regarding the target product. Preparing jam by adding it for a set time; Adding sweeteners and flavors to the prepared jam based on the flavor level of the prepared jam and purchase information regarding the target product; Packaging the jam to which the sweetener and flavorings are added in a container based on purchase information about the target product; Storing the jam packed in a container based on purchase information about the target product; And it may be characterized in that it includes the step of delivering the jam packed in the container based on purchase information about the target product.

According to an embodiment of the present application, the third artificial neural network is learned using the purchase information, the type of agricultural product, the degree of damage to the agricultural product, the image information, and the impact amount information as a dataset, and the method for measuring the impact amount of the agricultural product is, It may further include inputting the type of agricultural product, the image information, the impact amount information, and the degree of damage to the agricultural product into the third artificial neural network to output expected purchase information.

According to an embodiment of the present application, the fourth artificial neural network is learned using the purchase information, the plurality of sensing information, the type of agricultural product, the degree of damage to the agricultural product, the image information, and the impulse information as a dataset, and the The method of measuring the impact amount of agricultural products may further include inputting the plurality of sensing information, the type of the agricultural product, the degree of damage to the agricultural product, the image information, and the impact amount information into the fourth artificial neural network to output expected purchase information. there is.

According to an embodiment of the present application, the method of measuring the impact of agricultural products further includes the step of controlling an environmental control device around the falling start location based on the plurality of sensing information, the type of agricultural products, and the expected purchase information, , the environmental control device can control wind direction, wind speed, soil moisture, soil density, light amount, temperature, and humidity around the falling start position.

In the apparatus for measuring the impact amount of agricultural products according to an embodiment of the present application, the apparatus for measuring the impact amount of agricultural products includes: a photographing unit that generates image information by photographing the falling start position with at least one camera sensor disposed in the periphery of the falling start position; An impact detection unit that generates impact information by sensing the impact amount at the moment of falling of the target agricultural product using at least one impact detection sensor disposed at the bottom of the falling start position; a judgment unit that determines the type of agricultural product based on the image information; and a calculation unit that inputs the type of agricultural product, the image information, and the impact amount information into a first artificial neural network to output the degree of damage to the agricultural product, wherein the first artificial neural network includes the type of agricultural product, the degree of damage to the agricultural product, image information, and It can be learned using impulse information as a dataset.

The above-described means of solving the problem are merely illustrative and should not be construed as intended to limit the present application. In addition to the exemplary embodiments described above, additional embodiments may be present in the drawings and detailed description of the invention.

According to the problem-solving means of the present application described above, the problem of difficulty in systematically commercializing fallen agricultural products can be solved by providing a method and device for measuring the impact amount of agricultural products.

However, the effects that can be obtained herein are not limited to the effects described above, and other effects may exist.

1 is a schematic configuration diagram of an agricultural product impact measurement system according to an embodiment of the present application.
Figure 2 is an operation flowchart of a control method of an agricultural product impact measurement device according to an embodiment of the present application.
Figure 3 is a schematic block diagram of an agricultural product impact measurement device according to an embodiment of the present application.

Below, with reference to the attached drawings, embodiments of the present application will be described in detail so that those skilled in the art can easily implement them. However, the present application may be implemented in various different forms and is not limited to the embodiments described herein. In order to clearly explain the present application in the drawings, parts that are not related to the description are omitted, and similar reference numerals are assigned to similar parts throughout the specification.

Throughout this specification, when a part is said to be “connected” to another part, this means not only “directly connected” but also “electrically connected” or “indirectly connected” with another element in between. "Includes cases where it is.

Throughout this specification, when a member is said to be located “on”, “above”, “at the top”, “below”, “at the bottom”, or “at the bottom” of another member, this means that a member is located on another member. This includes not only cases where they are in contact, but also cases where another member exists between two members.

Throughout the specification of the present application, when a part "includes" a certain component, this means that it may further include other components rather than excluding other components unless specifically stated to the contrary.

Agricultural products are materials produced through agriculture and may include, but are not limited to, fruits, grains, vegetables, eggs, specialty crops, and flowers.

1 is a schematic configuration diagram of an agricultural product impact measurement system according to an embodiment of the present application.

The agricultural product impact measurement system may refer to the agricultural product impact wireless measurement system.

Referring to FIG. 1, the agricultural product impact measurement system 10 (hereinafter, also referred to as the 'main system 10') includes an agricultural product impact measurement device 100 (hereinafter, also referred to as the 'main device 100'), It may include a camera sensor 200, an impact detection sensor 300, and a user terminal 400.

This device 100 controls the camera sensor 200 placed on the periphery of the falling start position to photograph the falling start position, and controls the impact detection sensor 300 placed on the periphery of the falling start position to capture the falling start position. When the target agricultural product falls and collides with the ground, the amount of impact of the target agricultural product is sensed, the type of the target agricultural product is determined based on the image received from the camera sensor 200, and the type of the determined target agricultural product, the received image, and The amount of shock received from the shock detection sensor 300 can be input to the artificial neural network to output how damaged the agricultural product is.

As an example, the starting location of the fall may be the junction between the fruit and the branch in a fruit tree, may be the location where the agricultural product is lifted by a mechanical device, or may be where the agricultural product is lifted by human hands, but is not limited thereto.

This device 100 can set whether to sell the target agricultural product as agricultural product, dried agricultural product, agricultural product powder, or jam, considering the degree of damage to the printed agricultural product, etc., and process the target agricultural product according to the set target product.

According to an embodiment of the present application, the device 100 may provide an agricultural product status inquiry menu, a product creation status inquiry menu, a product creation operation menu, and a product sales menu dropped to the user terminal 400. For example, the user terminal 400 downloads and installs the application program provided by the device 100, and the agricultural product status inquiry menu, product creation status inquiry menu, product creation operation menu, and product sales menu dropped through the installed application. may be provided.

This device 100 includes data, content, a plurality of sensors including a camera sensor 200 and an impact detection sensor 300, a user terminal 400, a pick and place device, a target product processing process, a packaging device, and an environmental control device. , It may include all types of servers, terminals, or devices that transmit and receive various communication signals through the network 20 and have functions of data storage and processing.

The user terminal 400 is a device that is linked to the device 100 and a plurality of sensors including a camera sensor 200 and an impact detection sensor 300 through the network 20, for example, a smartphone. ), Smart Pad, tablet PC, wearable devices, etc., PCS (Personal Communication System), GSM (Global System for Mobile communication), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant) ), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), Wibro (Wireless Broadband Internet) terminals and all types of wireless communication devices and desktop computers. , It may be a fixed terminal such as a smart TV.

An example of the network 20 for information sharing between the device 100, a plurality of sensors including the camera sensor 200 and the impact detection sensor 300, and the user terminal 400 is the 3rd Generation Partnership Project (3GPP). Network, LTE (Long Term Evolution) network, 5G network, WIMAX (World Interoperability for Microwave Access) network, wired and wireless Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network) ), PAN (Personal Area Network), Bluetooth network, Wifi network, NFC (Near Field Communication) network, satellite broadcasting network, analog broadcasting network, DMB (Digital Multimedia Broadcasting) network, etc., but are limited to these. no.

Figure 2 is an operation flowchart of a control method of the agricultural product impact measurement device 100 according to an embodiment of the present application.

Referring to Figure 2, the method of measuring the impact of agricultural products may include steps S11 to S12.

The agricultural product impact measurement method shown in FIG. 2 can be performed by the agricultural product impact measurement device 100 described above.

According to an embodiment of the present application, in step S11, the device 100 may generate image information by capturing the falling start position with at least one camera sensor 200 disposed in the periphery of the falling start position.

As an example, the device 100 can control one camera sensor 200 to capture both the falling start position and the falling end position at the same time. In addition, the device 100 controls a plurality of camera sensors 200, controlling the first camera sensor to photograph the end position of the fall, controlling the second camera sensor to photograph the mid-fall position, and the third camera sensor. By controlling the sensor, you can photograph the starting location of the fall.

As another example, the device 100 can delete the image information, leaving only the part where the target agricultural product falls.

According to an embodiment of the present application, in step S12, the device 100 generates impact information by sensing the impact amount at the moment of falling of the target agricultural product with at least one impact detection sensor 300 disposed at the bottom of the falling start position. You can.

As an example, when the device 100 detects the falling moment of the target agricultural product falling from the falling start position through image information, the device 100 controls at least one impact detection sensor 300 disposed at the bottom of the falling starting position to detect the target agricultural product. By sensing the amount of impact at the moment of falling, information on the amount of impact can be generated.

As another example, the device 100 controls a plurality of impact detection sensors 300 disposed at the bottom of the falling start position to sense the amount of impact at the moment of falling of the target agricultural product, and, through image information, detects the shock amount located at the bottom of the fall start position. Among the plurality of impact detection sensors 300, a higher weight is given in the order of the closest absolute distance to the falling position of the target agricultural product, so that information on the amount of impact can be generated.

According to an embodiment of the present application, in step S13, the device 100 may determine the type of agricultural product based on image information.

As an example, the device 100 may receive information about the agricultural product from an external server based on the type of agricultural product determined.

As another example, the device 100 trains an artificial neural network using the types of agricultural products and images of the corresponding agricultural products as a learning dataset, and inputs the image information of the generated target agricultural products into the artificial neural network to output information on the types of agricultural products. there is.

According to an embodiment of the present application, in step S14, the device 100 inputs the type of agricultural product, image information, and impact amount information into the first artificial neural network and outputs the degree of damage to the agricultural product.

As an example, the device 100 may determine the structurally damaged area of the target agricultural product based on the degree of damage to the agricultural product and image information output by the first artificial neural network.

According to an embodiment of the present application, the device 100 can learn the first artificial neural network using the type of agricultural product, degree of damage to agricultural product, image information, and impact information as datasets.

As an example, the device 100 can train an artificial neural network using agricultural product damage information about the target agricultural product output through the first artificial neural network and actual damage information of the target agricultural product as a learning data set. Through this artificial neural network, the accuracy of output damage information on agricultural products can increase dramatically.

For example, an artificial intelligence-based learning model may be created through artificial intelligence-based learning such as machine learning or deep learning, but is not limited to this and has been developed or will be developed in the future. Various neural network systems being developed can be applied.

In the above description, steps S11 to S14 may be further divided into additional steps or combined into fewer steps, depending on the implementation of the present disclosure. Additionally, some steps may be omitted or the order between steps may be changed as needed.

According to an embodiment of the present application, the device 100 can generate a plurality of sensing information by sensing the periphery of the falling start position with a plurality of sensors disposed in the periphery of the falling start position.

As an example, the device 100 controls a plurality of sensors disposed in the periphery of the falling start position to generate upper peripheral sensing information by sensing the periphery of the falling start position, and a plurality of sensors disposed in the periphery of the falling end position. By controlling , it is possible to generate bottom peripheral sensing information by sensing the peripheral portion of the fall end position. The plurality of sensing information types of the upper peripheral sensing information and the plurality of sensing information types of the lower peripheral sensing information may be the same or different.

In addition, if the plurality of sensing information types of the upper peripheral sensing information and the plurality of sensing information types of the lower peripheral sensing information are the same, the device 100 selects the target sensing information included in the upper peripheral sensing information according to the type of target sensing information. A high weight may be assigned to any one of the target sensing information included in the lower peripheral region sensing information. Through this, even if the sensing information is the same, more appropriate sensing information can be given priority depending on the location.

According to an embodiment of the present application, the device 100 can input a plurality of sensing information, type of agricultural product, image information, and impact information into a second artificial neural network to output the degree of damage to the agricultural product.

As an example, the device 100 may determine the structurally damaged area of the target agricultural product based on the degree of damage to the agricultural product and image information output by the second artificial neural network.

According to an embodiment of the present application, the plurality of sensing information may include wind direction and speed information around the fall start location, soil moisture information, soil density information, light amount information, temperature information, and humidity information.

As an example, the upper peripheral sensing information and the lower peripheral sensing information may include wind direction and wind speed information, soil moisture information, soil density information, light amount information, temperature information, and humidity information around the fall start position, respectively.

The device 100 may assign a higher weight to the wind direction and speed information included in the upper peripheral sensing information than the wind direction and wind speed information included in the lower peripheral sensing information.

The device 100 may assign a lower weight to the soil wetness information included in the upper peripheral portion sensing information than the soil wetness information included in the lower peripheral portion sensing information.

The device 100 may assign a lower weight to the soil density information included in the upper peripheral sensing information than the soil density information included in the lower peripheral sensing information.

The device 100 may assign a higher weight to the light quantity information included in the upper peripheral sensing information than the light quantity information included in the lower peripheral sensing information.

The device 100 may assign a higher weight to the temperature information included in the upper peripheral sensing information than the temperature information included in the lower peripheral sensing information.

The device 100 may assign a higher weight to the humidity information included in the upper peripheral sensing information than the humidity information included in the lower peripheral sensing information.

According to an embodiment of the present application, the device 100 uses a plurality of sensing information, the type of the fallen agricultural product, the degree of damage to the fallen agricultural product, the image information of the fallen agricultural product, and the impact amount information of the fallen agricultural product as a dataset, and generates a second data set. Artificial neural networks can be trained.

As an example, the device 100 can learn an artificial neural network using agricultural product damage information about the target agricultural product output through the second artificial neural network and actual damage information of the target agricultural product as a learning data set. Through this artificial neural network, the accuracy of output damage information on agricultural products can increase dramatically.

According to an embodiment of the present application, the device 100 is a pick and place device that can calculate the degree of damage to agricultural products by considering the pressure applied to the target agricultural products.

As an example, the device 100 controls the pick and place device to allow the pick and place device to pick up and transport the target agricultural product, and determines the degree of additional damage to the agricultural product based on the pressure applied to the target agricultural product by the pick and place device, The final degree of agricultural product damage can be calculated based on the degree of damage to the fruit output by the artificial neural network and the degree of additional damage to the agricultural product by the pick and place device.

According to an embodiment of the present application, the device 100 can move the target agricultural product based on the calculated degree of damage to the agricultural product.

As an example, the device 100 can move target agricultural products according to classification based on the type of agricultural products and the degree of damage to the agricultural products. For example, the device 100 can transport types of agricultural products that can be sold as agricultural products to a storage location for agricultural products to be sold even if the degree of damage to the agricultural products is greater than a preset level. In addition, the device 100 can transport types of agricultural products that cannot be sold as agricultural products to a storage location for agricultural products for target products even if the degree of damage to the agricultural products is less than a preset level. Target products may include, but are not limited to, dried agricultural products, agricultural product powders, and jam.

According to one embodiment of the present application, the apparatus 100 can move the target agricultural product to the agricultural product waiting space if the degree of damage to the agricultural product is within the first range.

The first range may be set differently depending on the type of agricultural product. The first range may refer to the extent of damage to agricultural products to the extent that the type of agricultural products in question can be sold as agricultural products. The device 100 can set the first range based on the type of agricultural product.

According to an embodiment of the present application, the apparatus 100 can move the target agricultural product to the agricultural product processing space if the degree of damage to the agricultural product is within the second range.

The second range may be set differently depending on the type of agricultural product. The second range may be a larger range than the first range. The second range may refer to the extent of damage to agricultural products such that the type of agricultural products in question cannot be sold as agricultural products. This device 100 can set the second range based on the type of agricultural product.

According to an embodiment of the present application, the apparatus 100 can arrange target agricultural products by type within the agricultural product waiting space.

This device 100 divides the waiting space for agricultural products into at least one space, and can place the same type of agricultural products in the divided spaces. This device 100 arranges a plurality of types of agricultural products suitable for storage in the work space together in the work space, and the conditions set in the work space are conditions related to temperature, humidity, ethylene concentration, gas composition, amount of light, etc. It may be possible, but it is not limited to this.

According to an embodiment of the present application, the waiting space for agricultural products has a plurality of sections that can be opened and closed, and the same type of agricultural products can be placed in each section.

As an example, for conditions set in an openable section, the device 100 places a plurality of types of agricultural products suitable for storage together in the corresponding section, but the conditions set in the section are determined by temperature, humidity, ethylene concentration, gas composition, amount of light, etc. It may be a condition, but is not limited to this.

According to one embodiment of the present application, the device 100 can control temperature, humidity, and ethylene concentration based on the type of agricultural product placed in the section and the degree of ripening of the agricultural product.

As an example, the device 100 may generate image information about agricultural products placed within the section using a camera sensor placed within the section, and determine the degree of ripeness of the agricultural products placed within the section based on the image information.

As another example, if the ripening level of the agricultural products placed in the section is less than a preset level, the device 100 considers the previously stored agricultural product ripening manual information corresponding to the type of agricultural products placed in the section and ripens them within the preset period. The temperature, humidity, and ethylene concentration within the section can be adjusted so that the temperature is within a preset range.

According to an embodiment of the present application, the device 100 can transmit sales information to the terminal of an agricultural product seller if the ripening degree of the agricultural product is within a preset range.

For example, if the degree of ripeness of the agricultural product is within a preset range, the device 100 may include the image information and the degree of ripeness of the agricultural product in the sales information and transmit it to the terminal of the agricultural product seller.

As another example, at least one piece of sales information may exist depending on the type of agricultural product and the degree of maturity of the agricultural product.

According to an embodiment of the present application, when purchasing information is received from a terminal of an agricultural product selling company, the device 100 controls the pick and place device based on the purchasing information to grab at least one agricultural product and transfer it to the packaging device. .

For example, when the device 100 receives purchase information selected from a plurality of pieces of sales information by a user input of the agricultural product seller's terminal, the device 100 uses the purchase information based on the terminal of the agricultural product seller. By controlling the pick and place device, you can grab agricultural products corresponding to the purchase information and transfer them to the packaging device.

According to one embodiment of the present application, the device 100 can control a packaging device to package at least one agricultural product.

As an example, the device 100 can control the packaging device to package agricultural products by considering the packaging request information included in the purchase information. Packaging request information may include packaging method, quantity of agricultural products to be placed per unit package, number of packages, packaging design, etc.

According to an embodiment of the present application, the device 100 may transmit transfer request information to the delivery company's terminal.

As an example, the device 100 calculates the maximum time for non-spoilage by considering the degree of ripeness of the agricultural product to be delivered, selects companies that can deliver within the maximum time for non-rot, and sets a transfer deadline to the terminal of the selected delivery company. Transfer request information including the transfer request information can be transmitted.

According to an embodiment of the present application, the device 100 can determine the degree of damage to the target agricultural product using a camera sensor provided in the agricultural product processing space.

As an example, the device 100 may determine the degree of damage to the target agricultural product by considering the image information of the target agricultural product generated by a camera sensor provided in the agricultural product processing space and the degree of damage to the target agricultural product. Through this, the device 100 determines the degree of damage by further considering the degree of damage to agricultural products, thereby estimating not only the degree of external damage that is visually recognized but also the degree of expected internal damage that is not visually recognized.

According to an embodiment of the present application, the device 100 can cut the target agricultural product based on the degree of damage.

As an example, the device 100 may cut the target agricultural product based on the degree of external damage and expected internal damage of the target agricultural product.

As another example, the device 100 may cut the target agricultural product based on the target product to be manufactured from the target agricultural product.

According to an embodiment of the present application, the device 100 can store cut agricultural products in airtight boxes for each type.

As an example, the device 100 controls the camera sensor to photograph the cut target agricultural product, determines the degree of corruption based on the image information of the cut target agricultural product, and only cuts the cut target agricultural product whose degree of corruption is less than a preset level. Each type can be stored in an airtight container.

According to an embodiment of the present application, the device 100 can adjust the temperature, humidity, and gas composition ratio of each type of airtight container according to the type and condition of the target agricultural product.

As an example, the device 100 is configured to control the temperature, humidity, and gas composition ratio of the sealed box for each type in which the cut target agricultural product is placed so that the ripening degree is within a preset range based on the type, ripening degree, and average surface area of the cut target agricultural product. can be adjusted. The average surface area may refer to the average surface area per unit piece of the cut target agricultural product. The device 100 can calculate the average surface area based on image information of the cut target agricultural product. The gas composition ratio may include oxygen, nitrogen, carbon dioxide, and ethylene concentrations.

According to an embodiment of the present application, the apparatus 100 can set target products in sealed boxes for each type.

As an example, the device 100 can set target products in sealed boxes for each type based on the maturity level, humidity, sugar content, type, and average surface area of the cut target agricultural product. For example, if the preset target product that can be manufactured by the type of target agricultural product includes jam, and the ripening degree, humidity, and sugar content of the target agricultural product are each more than the preset level, the device 100 is the subject of sealing for each type. You can set a product as a jam.

Each type of enclosure can refer to a section.

According to an embodiment of the present application, the device 100 may receive purchase information regarding the target product.

As an example, purchase information regarding the target product may include the type of the target product, the type of agricultural product corresponding to the target product, sugar content, humidity, packaging design, quantity, etc.

Purchase information may include a plurality of purchase information.

According to an embodiment of the present application, the device 100 can set the target product based on the type information, freshness information, purchase information, and unit price information for each product contained in the sealed box for each type.

As an example, the device 100 calculates the expected sales for each target product based on purchase information and unit price information for each product, determines the storage mass of the target agricultural product whose freshness is higher than a preset level among the target agricultural products of a preset type, and then targets the target agricultural product. Considering the expected sales for each product, the target product can be set for the target agricultural products whose freshness is higher than the preset level among the target agricultural products of the preset type.

According to an embodiment of the present application, the apparatus 100 can move target agricultural products contained in sealed boxes for each type to the corresponding processing process based on the set target product.

As an example, the device 100 may move target agricultural products contained in sealed boxes for each type to a corresponding processing process within a preset time and under a preset temperature based on the set target product.

According to an embodiment of the present application, the apparatus 100 can process target agricultural products based on the set target product.

As an example, the device 100 may process target agricultural products based on purchase information and set target products. This device 100 can process the target agricultural product accordingly by considering details such as expiration date, quantity, sweetness, etc. included in the purchase information.

As another example, the device 100 controls the equipped processing process to process the target agricultural product into a target product, or transmits processing request information to the terminal of the external processing process, and transfers the target agricultural product to the external processing process for processing. It can be done as much as possible. When transferring target agricultural products, the device 100 can transmit transfer request information to the terminal of an external transfer company.

According to an embodiment of the present application, if the target product is dried agricultural product, the apparatus 100 can preprocess the target agricultural product according to the purpose of dry agricultural product.

As an example, if the target product is dried agricultural product, the device 100 preprocesses the target agricultural product based on a preset dry agricultural product purpose preprocessing method, but can adjust the detailed degree of preprocessing by further considering the customer's purchase information. . Pretreatment includes, but is not limited to, additional cutting, blanching, chemical sterilization pretreatment, resting, etc.

According to an embodiment of the present application, the device 100 provides preprocessed target agricultural products with information on the degree of browning, degree of freshness, degree of wetness, type information, degree of pulp-to-skin ratio, degree of dietary fiber ratio, agricultural product temperature information, and Dried agricultural products can be manufactured by applying wind of a preset temperature and intensity for a preset time based on purchase information about the target product.

As an example, the device 100 manufactures dried agricultural products from pretreated agricultural products, and if the degree of browning of the pretreated agricultural products is more than a preset level, the oxygen concentration in the processing space can be lowered to less than a preset level.

In addition, if the freshness information of the preprocessed target agricultural product is less than the preset level, the device 100 adjusts the temperature and humidity in the processing space so that the temperature and humidity are within the preset range, respectively, and The nitrogen concentration can be adjusted beyond the preset level.

In addition, if the degree of wetness, the ratio of skin to flesh, and the ratio of dietary fiber of the pretreated agricultural product are more than a preset level, the device 100 increases the temperature in the processing space and increases the temperature and intensity above the preset level. Dry agricultural products can be manufactured by applying wind to the pretreated agricultural products for a preset period of time.

In addition, if the temperature information of agricultural products is less than a preset level, the device 100 increases the temperature in the processing space and applies wind of a temperature and intensity higher than the preset level to the pretreated agricultural products for a preset time to produce dried agricultural products. can do.

In addition, based on the type of target agricultural product, the device 100 can produce dried agricultural products by applying wind of a preset temperature and intensity to the target agricultural product in a preset method for a preset time.

Additionally, based on purchase information about dried agricultural products, the device 100 can adjust a preset processing process for the target agricultural products. For example, if a request for a little moisture is included in the purchase information, the device 100 can control the processing process so that the degree of moisture of the dried agricultural product is higher than a preset level.

According to one embodiment of the present application, the device 100 can add sugar to the manufactured dried agricultural product based on the sugar content of the manufactured dried agricultural product and purchase information regarding the target product.

For example, if the sugar content of the dried agricultural product is more than a preset level, the device 100 can add sugar to the manufactured dried agricultural product at a level less than the preset level. In addition, if the sugar content of the dried agricultural product is less than a preset level, the device 100 can add sugar to the manufactured dried agricultural product more than the preset level.

As another example, if the purchase information regarding dried agricultural products includes a request for high sugar content, the device 100 may add sugar to the manufactured dried agricultural products above a preset level. Additionally, if the purchase information regarding the dried produce includes a request for low sugar content, the device 100 may add sugar to the manufactured dried produce below a preset level.

According to an embodiment of the present application, the device 100 can package dried agricultural products with added sugar in a container based on purchase information about the target product.

For example, if purchase information regarding dried agricultural products includes a request for packaging in a specified container, the device 100 can package the dried agricultural products with added sugar in the requested container. Additionally, if the purchase information regarding dried agricultural products includes a request for a specified container capacity, the device 100 can package the dried agricultural products with added sugar in a container of the requested size.

According to an embodiment of the present application, the device 100 can store dried agricultural products packaged in a container based on purchase information about the target product.

For example, if purchase information regarding dried agricultural products includes a delivery request after a preset period, the device 100 adjusts the temperature and humidity of the dry agricultural product storage space packed in the container to below a preset level, respectively, and the nitrogen level. can be adjusted beyond the preset level. In addition, if the purchase information regarding dried agricultural products includes a delivery request before a preset period, the device 100 adjusts the temperature and humidity of the dry agricultural product storage space packed in the container to a preset level, respectively, and adjusts the nitrogen level to a preset level. It can be adjusted to a certain degree.

According to an embodiment of the present application, the device 100 can deliver dried agricultural products packaged in a container based on purchase information about the target product.

As an example, the device 100 is delivered to a terminal of a delivery company that can deliver dried agricultural products according to the schedule included in the purchase information, the unit price of which is less than a preset level, and the safe delivery rate of which is more than a preset level. Request information can be transmitted.

According to an embodiment of the present application, the apparatus 100 can transport the manufactured dried agricultural product to the agricultural product powder processing process if the dryness level of the dried agricultural product is more than a preset level.

As an example, if the drying degree of the manufactured dried agricultural product is higher than the drying degree included in the purchase information by a preset level, the device 100 transfers the manufactured dried agricultural product to the agricultural product powder processing process and dries it based on the purchasing information. Additional agricultural products can be produced.

Conversely, if the dryness level of the manufactured dried agricultural product is lower than the drying level included in the purchase information by a preset level (if it is wet compared to the request), the device 100 transfers the manufactured dried agricultural product back to the dried agricultural product processing process. Then, correction processing can be performed to increase the degree of dryness of the dried agricultural products manufactured based on the purchase information.

According to an embodiment of the present application, if the target product is agricultural product powder, the apparatus 100 can preprocess the target agricultural product and the dried agricultural product transferred to the agricultural product powder processing process respectively to suit the purpose of the agricultural product powder.

As an example, if the target product is agricultural product powder, the device 100 preprocesses the target agricultural product based on a preset agricultural product powder purpose preprocessing method, but the detailed degree of preprocessing can be adjusted by further considering the customer's purchase information. . Pretreatment includes, but is not limited to, additional cutting, grinding, blanching, chemical sterilization pretreatment, resting, etc.

According to an embodiment of the present application, the device 100 provides preprocessed target agricultural products and dried agricultural products to the wetness level of the target agricultural product, type information, pulp to skin ratio, dietary fiber ratio, agricultural product temperature information, and target product. Agricultural product powder can be manufactured by applying heat at a preset temperature and intensity for a preset time based on purchase information, and applying a preset pressure.

As an example, the device 100 manufactures agricultural product powder from pre-processed agricultural products, and if the degree of browning of the pre-treated agricultural products is more than a pre-set level, the oxygen concentration in the processing space can be lowered to less than a pre-set level.

In addition, if the freshness information of the preprocessed target agricultural product is less than the preset level, the device 100 adjusts the temperature and humidity in the processing space so that the temperature and humidity are within the preset range, respectively, and The nitrogen concentration can be adjusted beyond the preset level.

In addition, if the degree of wetness, the ratio of skin to flesh, and the ratio of dietary fiber of the pretreated agricultural product are more than a preset level, the device 100 increases the temperature in the processing space and increases the temperature and intensity above the preset level. Agricultural product powder can be manufactured by applying heat to the pretreated agricultural product for a preset time and applying pressure above a preset level for a preset time.

In addition, if the agricultural product temperature information is less than a preset level, the device 100 increases the temperature in the processing space and applies heat of a temperature and intensity higher than the preset level to the preprocessed agricultural product for a preset time to produce agricultural product powder. can do.

In addition, based on the type of target agricultural product, the device 100 applies heat at a preset temperature and intensity to the target agricultural product in a preset method for a preset time and applies a preset pressure for a preset time to produce agricultural product powder. You can.

Additionally, based on purchase information about agricultural product powder, the device 100 can adjust a preset processing process for the target agricultural product. For example, if a request for a large amount of moisture is included in the purchase information, the device 100 can control the processing process so that the degree of wetness of the agricultural product powder is higher than a preset level.

In addition, if the target agricultural product is a dried agricultural product, the device 100 is preset based on the wetness level of the dried agricultural product, type information, pulp to skin ratio, dietary fiber ratio, agricultural product temperature information, and purchase information about agricultural product powder. Agricultural product powder can be manufactured by applying heat of a temperature and intensity for a preset time and applying a preset pressure.

According to an embodiment of the present application, the device 100 can selectively add nutrients to the manufactured agricultural product powder based on the composition ratio of the manufactured agricultural product powder and purchase information regarding the target product.

For example, if the composition ratio of the manufactured agricultural product powder differs by more than a preset degree compared to the preset target composition ratio standard, the device 100 determines the composition ratio of the manufactured agricultural product powder compared to the preset target composition ratio standard. Nutrients may be added to the manufactured agricultural product powder so that the difference is less than a set level.

As another example, if the composition ratio of the manufactured agricultural product powder differs by more than a preset degree compared to the composition ratio request included in the purchase information, the device 100 determines the composition ratio of the manufactured agricultural product powder included in the purchase information. Nutrients can be added to the manufactured agricultural product powder so that the ratio differs by less than a preset level compared to the requested ratio.

According to an embodiment of the present application, the device 100 can package agricultural product powder in a container based on purchase information about the target product.

For example, if the purchase information regarding the agricultural product powder includes a request for packaging in a specified container, the device 100 can package the agricultural product powder with added nutrients in the requested container. Additionally, if the purchase information regarding the agricultural product powder includes a request for a specified container capacity, the device 100 can package the agricultural product powder with added nutrients in a container of the requested size.

According to an embodiment of the present application, the device 100 can store agricultural product powder packaged in a container based on purchase information about the target product.

For example, if the purchase information regarding the agricultural product powder includes a delivery request after a preset period, the device 100 adjusts the temperature and humidity of the storage space for the agricultural product powder packaged in the container to below a preset level, respectively, and the nitrogen level. can be adjusted beyond the preset level. In addition, if the purchase information regarding the agricultural product powder includes a delivery request before a preset period, the device 100 adjusts the temperature and humidity of the storage space for the agricultural product powder packaged in the container to a preset level, respectively, and adjusts the nitrogen level to a preset level. It can be adjusted to a certain degree.

According to an embodiment of the present application, the device 100 can deliver agricultural product powder packaged in a container based on purchase information about the target product.

As an example, the device 100 is delivered to the terminal of a delivery company that has a unit price less than a preset level and a safe delivery rate of more than a preset level among delivery companies that can deliver agricultural product powder according to the schedule included in the purchase information. Request information can be transmitted.

As an example, if the composition of the manufactured agricultural product powder differs by more than a preset degree from the standard of the request information included in the purchase information, the device 100 transfers the manufactured agricultural product powder to the jam processing process and processes the manufactured agricultural product powder based on the purchase information. This allows additional production of agricultural product powder.

As another example, if the composition of the manufactured agricultural product powder differs by more than a preset degree from the standard of the request information included in the purchase information, the device 100 transfers the manufactured agricultural product powder back to the agricultural product powder processing process and purchases the product. Correction processing may be performed so that the composition of the agricultural product powder manufactured based on the information differs by less than a preset degree from the standard of the requested information included in the purchase information.

According to an embodiment of the present application, if the target product is jam, the device 100 can preprocess the target agricultural product to suit the purpose of jam.

As an example, if the target product is jam, the device 100 may preprocess the target agricultural product based on a preset jam purpose preprocessing method, but may adjust the detailed degree of preprocessing by further considering the customer's purchase information. Pretreatment includes, but is not limited to, additional cutting, grinding, blanching, chemical sterilization pretreatment, resting, etc.

According to an embodiment of the present application, the device 100 provides preprocessed agricultural products with pH level, sugar content, pectin level, wetness level, type information, flavor level, agricultural product temperature information, and purchase information about the target product. Based on this, jam can be manufactured by applying heat at a preset temperature and intensity for a preset time.

For example, when the pH level of the target agricultural product exceeds a preset range, the device 100 may oxidize the target agricultural product so that the pH level of the target agricultural product remains within the preset range. Conversely, if the pH level of the target agricultural product is below the preset range, the device 100 may alkalize the target agricultural product so that the pH level of the target agricultural product remains within the preset range. In the case of pH adjustment, the device 100 may be performed by adding additives to the target agricultural product, but is not limited to this.

As another example, if the sugar content of the target agricultural product exceeds the upper limit of the preset range, the device 100 may lower the sugar content of the target agricultural product so that the sugar content of the target agricultural product remains within the preset range. Conversely, if the sugar content of the target agricultural product is less than the lower limit of the preset range, the device 100 may increase the sugar content of the target agricultural product so that the sugar content of the target agricultural product remains within the preset range.

As another example, if the pectin level of the target agricultural product exceeds the upper limit of the preset range, the device 100 may remove the pectin of the target agricultural product so that the pectin level of the target agricultural product remains within the preset range. Conversely, if the pectin level of the target agricultural product is less than the lower limit of the preset range, the device 100 may add pectin to the target agricultural product so that the pectin level of the target agricultural product is within the preset range.

As another example, if the flavor level of the target agricultural product exceeds the upper limit of the preset range, the device 100 may add a dilution solvent to the target agricultural product so that the flavor level of the target agricultural product remains within the preset range. Conversely, if the flavor level of the target agricultural product is less than the lower limit of the preset range, the device 100 may add sweetener and flavoring to the target agricultural product so that the flavor level of the target agricultural product is within the preset range.

As another example, the device 100 manufactures jam with preprocessed agricultural products, and if the degree of browning of the pretreated agricultural products is more than a preset level, the oxygen concentration in the processing space can be lowered to less than a preset level.

In addition, if the freshness information of the preprocessed target agricultural product is less than the preset level, the device 100 adjusts the temperature and humidity in the processing space so that the temperature and humidity are within the preset range, respectively, and The nitrogen concentration can be adjusted beyond the preset level.

In addition, if the degree of wetness, the ratio of skin to flesh, and the ratio of dietary fiber of the pretreated agricultural product are more than a preset level, the device 100 increases the temperature in the processing space and increases the temperature and intensity above the preset level. Jam can be manufactured by applying heat to the pretreated agricultural products for a preset period of time.

In addition, if the temperature information of agricultural products is less than a preset level, the device 100 increases the temperature in the processing space and applies heat of a temperature and intensity higher than the preset level to the pretreated agricultural products for a preset time to manufacture jam. You can.

In addition, based on the type of target agricultural product, the device 100 can produce jam by applying heat at a preset temperature and intensity to the target agricultural product in a preset method for a preset time.

Additionally, based on purchase information about jam, the device 100 can adjust a preset processing process for the target agricultural product. For example, if a request for a large amount of moisture is included in the purchase information, the device 100 may control the processing process so that the degree of wetness of the jam is greater than or equal to a preset level.

In addition, if the target agricultural product is agricultural product powder, the device 100 preprocesses the agricultural product powder based on the wetness level, type information, pulp to skin ratio, dietary fiber ratio, agricultural product temperature information, and purchase information about jam, Jam can be manufactured by applying heat at a preset temperature and intensity for a preset time.

According to an embodiment of the present application, the device 100 can add sweeteners and flavors to the prepared jam based on the degree of flavor of the prepared jam and purchase information regarding the target product.

For example, if the flavor level of the prepared jam exceeds the upper limit of the preset range, the device 100 may add a solvent for dilution to the prepared jam so that the flavor level of the prepared jam remains within the preset range. there is. Conversely, if the flavor level of the prepared jam is less than the lower limit of the preset range, the device 100 may add sweetener and flavoring to the prepared jam so that the flavor level of the prepared jam is within the preset range.

As another example, the device 100 may set a preset range for the degree of flavor of jam by considering the flavor request included in the purchase information.

According to an embodiment of the present application, the device 100 can package jam with added sweetener and flavor in a container based on purchase information about the target product.

For example, if purchase information about jam includes a request for packaging a specified container, the device 100 can package jam with added sweetener and flavor in the requested container. Additionally, if the purchase information regarding the jam includes a request for a specified container capacity, the device 100 can package the jam with added sweetener and flavor in a container of the requested size.

According to an embodiment of the present application, the device 100 can store jam packaged in a container based on purchase information about the target product.

For example, if purchase information about jam includes a delivery request after a preset period, the device 100 adjusts the temperature and humidity of the jam storage space packed in the container to less than a preset level, respectively, and sets the nitrogen level to a preset level. It can be adjusted beyond the set level. In addition, if the purchase information regarding jam includes a delivery request before a preset period, the device 100 adjusts the temperature and humidity of the jam storage space packed in the container to a preset level, respectively, and adjusts the nitrogen level to a preset level. You can.

According to an embodiment of the present application, the device 100 can deliver jam packed in a container based on purchase information about the target product.

As an example, the device 100 requests delivery from the terminal of a delivery company whose unit price is less than a preset level and whose safe delivery rate is more than a preset level among delivery companies that can perform jam delivery according to the schedule included in the purchase information. Information can be transmitted.

As an example, if the composition of the manufactured jam differs from the request information included in the purchase information by more than a preset degree, the apparatus 100 may transfer the manufactured jam to the agricultural product powder processing process. This device 100 can process jam into agricultural product powder by performing a preset agricultural product powder processing process. The agricultural product powder processing process may include pretreatment, addition, heating, pressurization, etc. This device 100 can additionally produce jam based on purchase information.

As another example, if the composition of the manufactured jam differs by more than a preset degree from the standard of the request information included in the purchase information, the device 100 transfers the manufactured jam back to the jam processing process and processes the jam based on the purchase information. Correction processing can be performed so that the composition of the manufactured jam differs by less than a preset degree from the standard of the request information included in the purchase information.

According to an embodiment of the present application, the device 100 can learn a third artificial neural network using purchase information, type of agricultural product, degree of damage to agricultural product, image information, and impact information as datasets.

As an example, the device 100 uses purchase information on target agricultural products output through a third artificial neural network and actual purchase information on target agricultural products as a first learning data set, and target products output through a third artificial neural network. A third artificial neural network can be trained using purchase information about and actual purchase information about the target product as the second learning data set. Through this artificial neural network, the accuracy of output expected purchase information can dramatically increase.

According to an embodiment of the present application, the device 100 can output expected purchase information by inputting the type of agricultural product, image information, impact amount information, and degree of damage to the agricultural product into a third artificial neural network.

As an example, the device 100 predicts sales according to the type of target agricultural product that fell to the ground, based on the type of target agricultural product that fell to the ground, image information, impact amount information, degree of damage to agricultural product, and expected purchase information output by a third artificial neural network. Relationship, expected sales based on the video of the target agricultural product falling during a preset time, target product determination according to the impact amount of the target agricultural product falling, relationship, possibility of selling the type of agricultural product according to the type and impact amount of the target agricultural product, target agricultural product Expected sales relationships can be calculated according to type and impact amount. Additionally, the device 100 can calculate expected sales volume and expected net profit based on expected purchase information.

According to an embodiment of the present application, the device 100 can learn the fourth artificial neural network using purchase information, plurality of sensing information, type of agricultural product, degree of damage to agricultural product, image information, and impact information as datasets.

As an example, the device 100 uses purchase information about the target agricultural product output through the fourth artificial neural network and actual purchase information about the target agricultural product as the first learning data set, and the target product output through the fourth artificial neural network The fourth artificial neural network can be trained using purchase information about and actual purchase information about the target product as the second learning data set. Through this artificial neural network, the accuracy of output expected purchase information can dramatically increase.

According to an embodiment of the present application, the device 100 can output expected purchase information by inputting a plurality of sensing information, types of agricultural products, degree of damage to agricultural products, image information, and impulse information into the fourth artificial neural network.

As an example, the device 100 is based on upper peripheral sensing information, lower peripheral sensing information, type of target agricultural product that fell to the ground, image information, impact amount information, degree of damage to agricultural products, and expected purchase information output by the fourth artificial neural network. , expected sales relationship according to sensing information, impact amount relationship according to sensing information and type of target agricultural product, relationship between damage degree of agricultural product according to sensing information, expected sales relationship according to sensing information and type of target agricultural product, sensing Expected sales based on information and images of target agricultural products falling during a preset time, relationship between target product decision based on sensing information and impact amount of target agricultural product, sale of agricultural product type according to sensing information and type and impact amount of target agricultural product. It is possible to calculate the relationship between probability and expected sales based on sensing information and the type and impact of the target agricultural product. Additionally, the device 100 can calculate expected sales volume and expected net profit based on expected purchase information.

According to an embodiment of the present application, the device 100 may control an environmental control device around the falling start location based on a plurality of sensing information, types of agricultural products, and expected purchase information.

As an example, the device 100 is a relationship between expected sales according to sensing information, an impact amount relationship according to sensing information and the type of target agricultural product, a relationship between the degree of damage to agricultural products according to sensing information, and a relationship between sensing information and the type of target agricultural product that has fallen. Expected sales relationship based on, expected sales based on sensing information and images of target agricultural products falling during a preset time, target product decision relationship based on sensing information and the impact amount of fallen target agricultural products, sensing information and target agricultural products Based on the possibility of selling agricultural products according to the type and impact amount, sensing information, and the expected sales relationship according to the type and impact amount of the target agricultural product, the environmental control device around the starting location of the fall can be controlled so that the expected sales are relatively maximized. there is.

As another example, expected sales relationship according to sensing information, impact amount relationship according to sensing information and type of target agricultural product, relationship of degree of damage to agricultural products according to sensing information, expected sales relationship according to sensing information and type of fallen target agricultural product. , expected sales based on sensing information and images of falling target agricultural products for a preset time, relationship between target product decision based on sensing information and impact amount of fallen target agricultural products, agricultural products according to sensing information and type and impact amount of target agricultural products Based on the sales potential of the form, sensing information, type of target agricultural product, and expected sales relationship according to the amount of impact, it is possible to predict how much agricultural products located at the starting point of falling will fall.

According to an embodiment of the present application, the environmental control device can control wind direction, wind speed, soil moisture, soil density, light amount, temperature, and humidity around the falling start position.

As an example, the device 100 can control the environmental control device to adjust at least one of the wind direction and wind speed around the starting location of the fall, soil moisture level, soil density, light amount, temperature, and humidity. In addition, the device 100 can control the environmental control device to adjust at least one of the wind direction and wind speed around the fall end position, soil moisture level, soil density, light amount, temperature, and humidity.

Below, we will briefly look at the configuration of the present application based on the details described above.

Figure 3 is a schematic block diagram of an agricultural product impact measurement device 100 according to an embodiment of the present application.

The agricultural product impact measurement device 100 shown in FIG. 3 can perform the agricultural product impact measurement method described above. Therefore, even if the content is omitted below, the description of the method for measuring the impact amount of agricultural products can be equally applied to the description of the device 100 for measuring the impact amount of agricultural products.

Referring to FIG. 3 , the device 100 may include an imaging unit 110, an impact detection unit 120, a determination unit 130, and a calculation unit 140.

According to an embodiment of the present application, the photographing unit 110 may generate image information by photographing the falling start position with at least one camera sensor 200 disposed in the periphery of the falling start position.

According to an embodiment of the present application, the impact detection unit 120 may generate impact information by sensing the impact amount at the moment the target agricultural product falls using at least one impact detection sensor 300 disposed at the bottom of the falling start position.

According to an embodiment of the present application, the determination unit 130 may determine the type of agricultural product based on image information.

According to an embodiment of the present application, the calculation unit 140 inputs the type of agricultural product, image information, and impact amount information into the first artificial neural network and outputs the degree of damage to the agricultural product.

According to an embodiment of the present application, the first artificial neural network can be learned using the type of agricultural product, degree of damage to agricultural product, image information, and impact information as datasets.

In the above description, the agricultural product impact measurement device 100 may be further divided into additional components or combined into fewer components, depending on the implementation example of the present application. Additionally, some components may be omitted as needed, and the order between components may be changed.

The method for measuring the impact of agricultural products according to an embodiment of the present application may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc., singly or in combination. Program instructions recorded on the medium may be specially designed and constructed for the present invention or may be known and usable by those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -Includes optical media (magneto-optical media) and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, etc. Examples of program instructions include machine language code, such as that produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

Additionally, the method for measuring the impact of agricultural products described above can also be implemented in the form of a computer program or application executed by a computer stored in a recording medium.

The description of the present application described above is for illustrative purposes, and those skilled in the art will understand that the present application can be easily modified into other specific forms without changing its technical idea or essential features. Therefore, the embodiments described above should be understood in all respects as illustrative and not restrictive. For example, each component described as unitary may be implemented in a distributed manner, and similarly, components described as distributed may also be implemented in a combined form.

The scope of the present application is indicated by the claims described below rather than the detailed description above, and all changes or modified forms derived from the meaning and scope of the claims and their equivalent concepts should be construed as being included in the scope of the present application.

10: Agricultural product impact measurement system
20: Network
100: Agricultural product impact measurement device
110: recording unit 120: shock detection unit
130: judgment unit 140: calculation unit
200: Camera sensor
300: Shock detection sensor
400: User terminal

Claims (15)

In the agricultural product impact measurement method performed by the agricultural product impact measurement device,
Generating image information by photographing the falling start position with at least one camera sensor disposed in the periphery of the falling start position;
Generating impact information by sensing the impact amount at the moment of falling of the target agricultural product with at least one impact detection sensor disposed at the bottom of the falling start position;
Determining the type of agricultural product based on the image information; and
Inputting a plurality of sensing information, the type of agricultural product, the image information, and the impulse information into a first artificial neural network to output the degree of damage to the agricultural product;
Including,
The step of generating the image information is,
Generating the plurality of sensing information by sensing the periphery of the falling start position with a plurality of sensors disposed in the periphery of the falling start position,
Characterized by including,
The plurality of sensing information is,
Contains soil moisture information in the surrounding area of the falling start position,
The first artificial neural network is,
It is learned using the plurality of sensing information, types of agricultural products, degree of damage to agricultural products, image information, and impact information as a dataset,
Method of measuring impact of agricultural products. According to paragraph 1,
The step of generating image information by photographing the falling start position with at least one camera sensor disposed in the periphery of the falling start position,
Generating the plurality of sensing information by sensing the periphery of the falling start position with a plurality of sensors disposed in the periphery of the falling start position,
Characterized by including,
The plurality of sensing information is,
Containing wind direction and speed information, soil moisture information, soil density information, light amount information, temperature information, and humidity information in the vicinity of the falling start position,
Method of measuring impact of agricultural products. According to paragraph 2,
The method of measuring the impact of agricultural products is,
calculating the degree of damage to the agricultural product by further considering the pressure applied to the target agricultural product by a pick and place device;
moving the target agricultural product based on the calculated degree of damage to the agricultural product;
Including more,
The step of moving the target agricultural product based on the calculated degree of damage to the agricultural product,
If the degree of damage to the agricultural product is within a first range, moving the target agricultural product to the agricultural product waiting space;
If the degree of damage to the agricultural product is within a second range, moving the target agricultural product to an agricultural product processing space;
Characterized in that it includes,
Method of measuring impact of agricultural products. According to paragraph 3,
If the degree of damage to the agricultural product is within the first range, the step of moving the target agricultural product to the agricultural product waiting space is:
Arranging the target agricultural products by type within the agricultural product waiting space;
Characterized by including,
The agricultural product waiting area is,
There are a plurality of sections that can be opened and closed, and the same type of agricultural products are placed in each section,
The step of arranging the target agricultural products by type within the agricultural product waiting space,
Adjusting temperature, humidity, and ethylene concentration based on the type of agricultural product placed in the section and the degree of ripening of the agricultural product;
Characterized by comprising,
Method of measuring impact of agricultural products. According to paragraph 4,
The step of adjusting the temperature, humidity, and ethylene concentration based on the type of agricultural product placed in the section and the degree of ripening of the agricultural product is,
If the ripening degree of the agricultural product is within a preset range, transmitting sales information to the terminal of the agricultural product seller,
Characterized by including,
If the ripening degree of the agricultural product is within a preset range, the step of transmitting sales information to the terminal of the agricultural product seller is,
Upon receiving purchase information from the terminal of the agricultural product seller, controlling the pick and place device based on the purchase information to grab at least one agricultural product and move it to a packaging device;
packaging the at least one agricultural product by a packaging device; and
A step of transmitting transfer request information to the delivery company's terminal,
Characterized by comprising,
Method of measuring impact of agricultural products. According to clause 5,
If the degree of damage to the agricultural product is within the second range, the step of moving the target agricultural product to the agricultural product processing space is,
Determining the degree of damage to the target agricultural product using a camera sensor provided in the agricultural product processing space;
cutting the target agricultural product based on the degree of damage;
Storing the cut agricultural products in airtight boxes for each type;
adjusting the temperature, humidity, and gas composition ratio of each type of airtight container according to the type and condition of the target agricultural product;
Setting the target product in an airtight box for each type,
Characterized by comprising,
Method of measuring impact of agricultural products. According to clause 6,
The step of setting the target product in the sealed box for each type is,
Receiving purchase information regarding the target product;
Setting the target product based on type information, freshness information, purchase information, and unit price information for each product contained in the type-specific sealed box;
Moving the target agricultural products contained in the sealed boxes for each type to a corresponding processing process based on the set target product;
Processing the target agricultural product based on the set target product,
Characterized by comprising,
Method of measuring impact of agricultural products. In clause 7,
The step of processing the target agricultural product based on the set target product,
If the target product is a dried agricultural product, preprocessing the target agricultural product according to the purpose of the dried agricultural product;
The pre-processed agricultural product is subjected to a pre-set temperature based on the browning level, freshness level, wetness level, type information, pulp-to-skin ratio, dietary fiber ratio, agricultural product temperature information, and purchase information regarding the target product. and manufacturing the dried agricultural products by applying wind of high intensity for a preset time.
Adding sugar to the dried agricultural product manufactured based on the sugar content of the dried agricultural product and purchase information regarding the target product;
Packaging the sugar-added dried agricultural product in a container based on purchase information about the target product;
storing the dried agricultural products packaged in a container based on purchase information about the target product; and
Shipping dried agricultural products packaged in the container based on purchase information about the target product,
Characterized by including,
The step of manufacturing the dried agricultural product is,
Transferring the manufactured dried agricultural products to an agricultural product powder processing process if the dryness level of the dried agricultural products is more than a preset level,
Characterized by comprising,
Method of measuring impact of agricultural products. According to clause 8,
The step of processing the target agricultural product based on the set target product,
If the target product is an agricultural product powder, preprocessing the target agricultural product and the dried agricultural product transferred to the agricultural product powder processing process to suit the purpose of the agricultural product powder;
The temperature and intensity of pre-processed agricultural products and dried agricultural products are set based on the wetness level of the target agricultural products, type information, pulp to skin ratio, dietary fiber ratio, agricultural product temperature information, and purchase information about the target product. manufacturing the agricultural product powder by applying heat for a preset time and applying a preset pressure;
Selectively adding nutrients to the produced agricultural product powder based on the composition ratio of the produced agricultural product powder and purchase information regarding the target product;
Packaging the agricultural product powder in a container based on purchase information about the target product;
Storing the agricultural product powder packaged in a container based on purchase information about the target product; and
Delivering the agricultural product powder packaged in the container based on purchase information about the target product,
Characterized by comprising,
Method of measuring impact of agricultural products. According to clause 9,
The step of processing the target agricultural product based on the set target product,
If the target product is jam, preprocessing the target agricultural product to suit the purpose of the jam;
The pretreated agricultural product is subjected to heat at a preset temperature and intensity based on the pH level, sugar content, pectin level, wetness level, type information, flavor level, agricultural product temperature information, and purchase information regarding the target product. Preparing jam by adding it for a set time;
Adding sweeteners and flavors to the prepared jam based on the flavor level of the prepared jam and purchase information regarding the target product;
Packaging the jam to which the sweetener and flavorings are added in a container based on purchase information about the target product;
Storing the jam packed in a container based on purchase information about the target product; and
Shipping the jam packed in the container based on purchase information about the target product,
Characterized by comprising,
Method of measuring impact of agricultural products. According to clause 10,
The third artificial neural network is,
It is learned using the purchase information, the type of agricultural product, the degree of damage to the agricultural product, the image information, and the impact information as a dataset,
The method of measuring the impact of agricultural products is,
Inputting the type of agricultural product, the image information, the impact amount information, and the degree of damage to the agricultural product into the third artificial neural network to output expected purchase information;
Containing more,
Method of measuring impact of agricultural products. According to paragraph 11:
The fourth artificial neural network is,
It is learned using the purchase information, the plurality of sensing information, the type of agricultural product, the degree of damage to the agricultural product, the image information, and the impact amount information as a dataset,
The method of measuring the impact of agricultural products is,
Inputting the plurality of sensing information, the type of agricultural product, the degree of damage to the agricultural product, the image information, and the impulse information into the fourth artificial neural network to output expected purchase information,
Containing more,
Method of measuring impact of agricultural products. According to clause 12,
The method of measuring the impact of agricultural products is,
Controlling an environmental control device around the falling start location based on the plurality of sensing information, the type of agricultural product, and the expected purchase information,
It further includes,
The environmental control device is,
Controlling the wind direction, wind speed, soil moisture, soil density, light amount, temperature and humidity around the falling start position,
Method of measuring impact of agricultural products. In the agricultural product impact measurement device,
a photographing unit that generates image information by photographing the falling start position with at least one camera sensor disposed in the periphery of the falling start position;
An impact detection unit that generates impact information by sensing the impact amount at the moment of falling of the target agricultural product using at least one impact detection sensor disposed at the bottom of the falling start position;
a judgment unit that determines the type of agricultural product based on the image information; and
A calculation unit that inputs a plurality of sensing information, the type of agricultural product, the image information, and the impulse information into a first artificial neural network to output the degree of damage to the agricultural product;
Including,
The filming department,
Generating the plurality of sensing information by sensing the periphery of the falling start position with a plurality of sensors disposed in the periphery of the falling start position,
The plurality of sensing information is,
Contains soil moisture information in the surrounding area of the falling start position,
The first artificial neural network is,
It is learned using the plurality of sensing information, types of agricultural products, degree of damage to agricultural products, image information, and impact information as a dataset,
A device for measuring the impact of agricultural products. A computer-readable recording medium recording a program for executing the method of any one of claims 1 to 13 on a computer.

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