CN112136741A - Accurate feeding method for visual area - Google Patents
Accurate feeding method for visual area Download PDFInfo
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- CN112136741A CN112136741A CN202010883399.8A CN202010883399A CN112136741A CN 112136741 A CN112136741 A CN 112136741A CN 202010883399 A CN202010883399 A CN 202010883399A CN 112136741 A CN112136741 A CN 112136741A
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- 238000000034 method Methods 0.000 title claims abstract description 11
- 230000000007 visual effect Effects 0.000 title claims abstract description 6
- 241000251468 Actinopterygii Species 0.000 claims abstract description 43
- 230000007246 mechanism Effects 0.000 claims abstract description 9
- 238000000605 extraction Methods 0.000 claims abstract description 5
- 238000005266 casting Methods 0.000 claims description 13
- 238000001914 filtration Methods 0.000 claims description 4
- 239000002245 particle Substances 0.000 claims description 2
- 238000009395 breeding Methods 0.000 abstract description 2
- 230000001488 breeding effect Effects 0.000 abstract description 2
- 230000008569 process Effects 0.000 abstract description 2
- 230000008901 benefit Effects 0.000 description 3
- 235000021050 feed intake Nutrition 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- 230000002776 aggregation Effects 0.000 description 2
- 238000004220 aggregation Methods 0.000 description 2
- 235000003642 hunger Nutrition 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000009313 farming Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000004807 localization Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K61/00—Culture of aquatic animals
- A01K61/80—Feeding devices
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/80—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in fisheries management
- Y02A40/81—Aquaculture, e.g. of fish
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- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Environmental Sciences (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Marine Sciences & Fisheries (AREA)
- Zoology (AREA)
- Animal Husbandry (AREA)
- Biodiversity & Conservation Biology (AREA)
- Farming Of Fish And Shellfish (AREA)
Abstract
The invention discloses a feeding method with accurate visual area, which structurally comprises image acquisition, image processing, feature extraction, remote control and an execution mechanism. The feeding method based on the research of the feeding rule of the fish school enables the feeding process to better meet the feeding requirement of the fish school, saves the bait and the breeding cost, and can reduce the pollution to the environment.
Description
Technical Field
The present invention relates to the field of computer vision.
Background
At present, the bait casting method used in fishery culture mainly comprises artificial feeding, automatic feeding of a bait casting machine and the like. The artificial feeding is to throw baits into the culture area by workers at proper time, and to determine the feeding amount of the baits and the time for stopping throwing the baits according to the feeding condition of the fishes observed according to culture experiences. Although the bait is less wasted, the bait is carried by the farmer who walks back and forth, a large amount of labor is needed when the farming area is large, and if the number of workers is small, the growth of fish schools is affected due to the overlong bait feeding time.
The feeding of the bait casting machine mainly adopts a timing and quantitative mode, so that the bait casting machine can cast a preset amount of bait no matter the growth state of fishes at that time, and the bait waste is inevitably caused.
The residual bait for the harbor and deep sea cage culture sinks into the sea, which can cause the deterioration of marine environment and culture environment, increases the occurrence probability of diseases, not only increases the culture cost and reduces the benefit, but also can generate extremely bad influence on the ecological environment, and even more can threaten the human health.
Disclosure of Invention
Aiming at the technical problems in the prior art, the invention aims to provide a visual area accurate feeding method for scientific feeding and overcome the problems in the prior art.
The invention has the beneficial effects that: the bait casting method based on the research of the feeding rule of the fish school enables the bait casting process to better meet the feeding requirement of the fish school, saves bait and breeding cost, and can reduce the pollution to the environment.
The technical scheme adopted by the invention for realizing the purpose is as follows:
the feeding state of the fish group has certain regularity, the water surface is in a calm state when no bait is thrown, and although individual small fish occasionally jump to the water surface for playing, the overall state is calm. After the bait casting is started, the fish swarm aggregation state changes continuously along with the increase of the bait casting amount and the bait casting time, and the fish swarm is concentrated in a certain range of bait casting. The aggregation degree of the fish shoal basically presents a state of gradually changing from small to big and then from big to small until the fish shoal is completely ingested and the water surface returns to calm.
The target fish school area is the total number of pixel areas of the fish in the target fish school area. When baits are fed and the fish school is in a hungry state, the fish school can gather near the feeding machine, and the area of the target fish school can be increased. If the fish school is in a full-temperature state, the fish school will slowly disperse throughout the experimental fish pond, and the area of the target fish school will decrease. Therefore, important information can be provided for the fish school feeding rule as long as the total pixel area of the fish in the target fish school area, namely the target fish school area, can be obtained in real time.
The bait casting system based on the fish school feeding rule is composed of 5 parts, namely an image acquisition mechanism, an image processing mechanism, a feature extraction mechanism, a remote control mechanism and an execution mechanism.
Image acquisition: acquiring fish shoal picture information through a high-definition camera at variable time, and providing the picture information for an image processing unit for further processing;
image processing: performing secondary analysis processing on the pictures acquired by the camera, wherein the secondary analysis processing comprises sharpening, cutting and picture comparison, when the comparison of a plurality of continuous pictures is not different, the analysis is stopped, and otherwise, the pictures are processed by a feature extraction unit;
feature extraction: extracting the material information after the picture processing, and analyzing the specific fish information, such as: the fish shoal area, the fish shoal hunger index, the fish shoal growth index and the like are fed back to the remote control unit finally;
remote control: information extracted according to the features, and system initialization configuration information, such as: the hunger index corresponds to the feed intake, the growth index corresponds to the feed intake, and the fish school area corresponds to the feed intake; in the feeding process, the system can accelerate the acquisition of image information, and adjust feeding data in real time according to the change of fish school to ensure the normal growth of the fish school;
an executing mechanism: the feeding device is a physical equipment unit, is remotely or locally controlled to be switched on and off, and can control the feeding speed according to the actual situation, thereby realizing the aims of precise culture and proper culture.
Drawings
The features and advantages of the present invention will be more clearly understood by reference to the accompanying drawings, which are illustrative and not to be construed as limiting the invention in any way, and in which:
FIG. 1 is a schematic diagram of an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The present invention will be described in further detail below with reference to specific examples.
One or more infrared high-definition camera devices are arranged near each feeder, a camera snapshot strategy is configured, and a group of pictures are snapshot every 15 minutes under the condition of midnight/idle time; in the daytime/surveillance period case, a set of pictures is taken every 5 minutes; the pictures are taken every 10 seconds during the feeding period.
And installing a cloud server or a localization server for assembling the intelligent feeding control management system. When a local area network is adopted, the camera and the server are required to be installed in the same network segment, and the execution unit can perform data interaction with the local area network, so that the availability of services such as picture capturing and remote control is ensured.
The camera directly collects an original image, the original image is processed by an image processing system, and a characteristic value is extracted through graying, filtering, binaryzation and particle filtering. The remote control system identifies the activity state of the fish shoal according to the extracted characteristic values, and when the ratio of the area of the fish shoal to the density of the target fish shoal reaches a certain set value, the remote control system can remotely control the feeding machine to be opened, and finally the execution mechanism carries out feeding. When the ratio of the fish school area to the target fish school density is lower than the set range value, the remote control system closes the feeding switch.
The above description is only a preferred embodiment of the present invention, and the scope of the present invention is not limited thereto, and any simple modifications or equivalent substitutions of the technical solutions that can be obviously obtained by those skilled in the art within the technical scope of the present invention are within the scope of the present invention.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims (2)
1. A feeding method with accurate visual area is structurally composed of image acquisition, image processing, feature extraction, remote control and an execution mechanism, and is characterized in that a camera directly acquires an original image, the original image is processed by an image processing system, and a feature value, a fish shoal area and target fish shoal density are extracted through graying, filtering, binarization and particle filtering.
2. The feeding method with precise visual areas according to claim 1, wherein a camera collects original images and sends the images to a computer for image processing, and a remote control bait casting machine is further executed for precise bait casting.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010883399.8A CN112136741A (en) | 2020-08-28 | 2020-08-28 | Accurate feeding method for visual area |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010883399.8A CN112136741A (en) | 2020-08-28 | 2020-08-28 | Accurate feeding method for visual area |
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| CN112136741A true CN112136741A (en) | 2020-12-29 |
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| CN202010883399.8A Pending CN112136741A (en) | 2020-08-28 | 2020-08-28 | Accurate feeding method for visual area |
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| CN (1) | CN112136741A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112400773A (en) * | 2021-01-21 | 2021-02-26 | 南京农业大学 | Greenhouse fry intelligent feeding device and method based on machine vision technology |
| CN113841650A (en) * | 2021-10-15 | 2021-12-28 | 天津科技大学 | Intelligent bait feeding system for outdoor aquaculture pond and control method thereof |
| CN113966723A (en) * | 2021-10-29 | 2022-01-25 | 重庆市水产科学研究所 | Intelligent accurate bait feeding system |
| CN114467824A (en) * | 2022-03-04 | 2022-05-13 | 上海海洋大学 | Intelligent bait casting boat |
| CN116432909A (en) * | 2023-06-13 | 2023-07-14 | 广东省农业科学院动物科学研究所 | Test method for evaluating feeding attraction effect of aquatic products |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104123721A (en) * | 2014-07-02 | 2014-10-29 | 中国科学院合肥物质科学研究院 | Automatic fish school feeding control method based on video streaming image distributed dynamic characteristic technology |
| CN105104278A (en) * | 2015-08-20 | 2015-12-02 | 江苏大学 | Automatic floating bait feeding method and device for recirculating aquaculture |
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| CN111528143A (en) * | 2020-05-26 | 2020-08-14 | 大连海洋大学 | Fish shoal feeding behavior quantification method, system, device and storage medium |
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2020
- 2020-08-28 CN CN202010883399.8A patent/CN112136741A/en active Pending
Patent Citations (5)
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| CN104123721A (en) * | 2014-07-02 | 2014-10-29 | 中国科学院合肥物质科学研究院 | Automatic fish school feeding control method based on video streaming image distributed dynamic characteristic technology |
| CN105104278A (en) * | 2015-08-20 | 2015-12-02 | 江苏大学 | Automatic floating bait feeding method and device for recirculating aquaculture |
| CN107422303A (en) * | 2017-05-24 | 2017-12-01 | 青岛越洋水处理设备工程有限公司 | Full-automatic bait-throwing method based on acoustic location and IMAQ |
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| CN111528143A (en) * | 2020-05-26 | 2020-08-14 | 大连海洋大学 | Fish shoal feeding behavior quantification method, system, device and storage medium |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112400773A (en) * | 2021-01-21 | 2021-02-26 | 南京农业大学 | Greenhouse fry intelligent feeding device and method based on machine vision technology |
| CN112400773B (en) * | 2021-01-21 | 2021-04-09 | 南京农业大学 | Greenhouse fry intelligent feeding device and method based on machine vision technology |
| CN113841650A (en) * | 2021-10-15 | 2021-12-28 | 天津科技大学 | Intelligent bait feeding system for outdoor aquaculture pond and control method thereof |
| CN113966723A (en) * | 2021-10-29 | 2022-01-25 | 重庆市水产科学研究所 | Intelligent accurate bait feeding system |
| CN114467824A (en) * | 2022-03-04 | 2022-05-13 | 上海海洋大学 | Intelligent bait casting boat |
| CN116432909A (en) * | 2023-06-13 | 2023-07-14 | 广东省农业科学院动物科学研究所 | Test method for evaluating feeding attraction effect of aquatic products |
| CN116432909B (en) * | 2023-06-13 | 2023-10-20 | 广东省农业科学院动物科学研究所 | Test method for evaluating feeding attraction effect of aquatic products |
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