Aquatic product feeding method and system based on aquatic product floating head monitoring system

Abstract

The invention relates to the technical field of aquaculture, and discloses an aquatic product feeding method and system based on an aquatic product floating head monitoring system, the method comprises a floating head detection device, a data processing device and a feeding device, the floating head detection device is electrically connected with the data processing device, the data processing device is electrically connected with the feeding device, and the feeding device is electrically connected with the data processing device. The feeding device comprises a feeding control module and a feeding execution module, the feeding control module is electrically connected with the data processing device, the feeding control module is electrically connected with the feeding execution module, the feeding control device is used for determining the feeding frequency, and the feeding execution module is used for feeding according to the feeding frequency determined by the feeding control module; environmental changes can be responded in time, it is ensured that the water quality is kept in the optimal state, disease prevention is facilitated, and the fish survival rate is increased. The labor intensity of breeding personnel is reduced, errors of manual feeding are reduced, the management efficiency is improved, and the requirements of modern intelligent breeding are met.

Description

Technical Field

[0001] The present invention relates to the technical field of aquaculture, and in particular to an aquatic feeding method and system based on an aquatic floating head monitoring system. Background Art

[0002] Floating head refers to the phenomenon that fish float on the water surface and swallow air due to lack of oxygen. This phenomenon is usually caused by a variety of factors, including water quality problems, improper feed management, disease infection, and temperature changes. Among them, if the feed is overfed, it will cause indigestion in the fish, and then the floating head phenomenon will occur. Traditional feeding methods usually rely on manual experience, and the breeders feed the fish at regular intervals and in fixed quantities based on their own judgment and experience. However, this method has many shortcomings, especially in responding to the dynamic needs of fish and environmental changes. With the expansion of aquaculture and the improvement of breeding efficiency requirements, more accurate and intelligent feeding solutions are urgently needed.

[0003] In current technology, traditional feeding methods cannot monitor the changes in fish appetite and water quality in real time, resulting in uneven feeding, waste of resources and deterioration of water quality. Fish appetite is affected by many factors, including changes in environmental conditions such as water temperature, dissolved oxygen, and ammonia nitrogen concentration. Relying solely on experience and judgment often cannot adapt to these changes in time, resulting in inaccurate feed delivery, affecting fish growth and health. Therefore, it is particularly important to develop an intelligent feeding system that can monitor and analyze fish floating behavior and environmental factors in real time. Summary of the invention

[0004] In view of this, the present invention proposes an aquatic feeding method and system based on an aquatic floating head monitoring system, aiming to solve the problem that traditional feeding methods in current technology often rely on manual experience and cannot reflect fish appetite and environmental changes in real time, resulting in uneven feeding, waste of resources and deterioration of water quality.

[0005] On the one hand, the present invention provides an aquatic feeding method based on an aquatic floating head monitoring system, comprising:

[0006] A floating head detection device, a data processing device and a feeding device, wherein the floating head detection device is electrically connected to the data processing device, the data processing device is electrically connected to the feeding device, the feeding device includes a feeding control module and a feeding execution module, wherein the feeding control module is electrically connected to the data processing device, the feeding control module is electrically connected to the feeding execution module, the feeding control device is used to determine the feeding frequency, and the feeding execution module is used to feed according to the feeding frequency determined by the feeding control module; the data processing device includes a collection unit, a processing unit and a judgment unit, wherein,

[0007] The acquisition unit is configured to acquire fish floating head images taken by the floating head detection device in the detected water area and environmental information in the detected water area, and preliminarily determine the number of fish floating heads according to the fish floating head images;

[0008] The processing unit is configured to perform regional processing on the environmental information of the detected water area to determine a number of sub-areas, calculate the density of floating heads according to the number of floating heads and the water area in each sub-area, obtain the floating head situation of each sub-area, determine the dense floating head area and the sparse floating head area, and determine the preliminary feeding frequency according to the floating head situation of each sub-area;

[0009] The judgment unit is configured to judge the activity behavior of the fish based on the image of the floating head, calculate the activity influence factor based on the activity behavior, judge whether to continue feeding based on the activity influence factor, correct the preliminary feeding frequency based on the change in water quality in each sub-area to determine the final feeding frequency, and send the final feeding frequency information to the feeding control module, and the feeding control module controls the feeding execution module to perform feeding operations based on the information of the judgment unit.

[0010] Optionally, the preliminarily determining the number of fish floating heads according to the fish floating head image specifically includes:

[0011] An object detection model is applied to each frame to identify floating fish, where consecutive frames are clustered to avoid counting the same fish repeatedly.

[0012] Optionally, the performing of regional processing on the environmental information of the detected water area to determine a plurality of sub-areas is specifically:

[0013] The entire water area is divided into N rectangular sub-areas of fixed size through gridding, and environmental information is collected for each sub-area. The density of floating heads in each sub-area is calculated based on the preliminary number of fish floating heads calculated by the collection unit, and a floating head density threshold is preset to determine the dense and sparse floating head areas.

[0014] Optionally, the floating head density of each sub-area is calculated according to the preliminary number of fish floating heads calculated by the acquisition unit, and the calculation formula of the floating head density is:

[0015]

[0016] When D i >D 0 When D i <D 0 When , the sub-region is judged to be a sparse area;

[0017] Among them, D 0 Indicates the floating head density threshold, Di represents the floating head density of the ith sub-region, A i represents the number of floating fish in the ith sub-area, N i represents the area of ​​the i-th sub-region.

[0018] Optionally, the calculating of the activity impact factor according to the activity behavior specifically includes:

[0019] The number of fish activities per unit time is counted, and the average number of fish activities in the sub-area is calculated. The activity impact factor is determined based on the average number of activities. The calculation formula is:

[0020]

[0021] Among them, U represents the activity influencing factor, Y represents the number of fish activities per unit time, and U 0 Represents the average number of fish activities in this sub-area.

[0022] Optionally, judging whether to continue feeding according to the activity influencing factor specifically includes:

[0023] Three activity influence factor thresholds are set, namely, a first activity influence factor threshold U1, a second activity influence factor threshold U2 and a third activity influence factor threshold U3, and U1 is smaller than U2 and smaller than U3. When the activity influence factor is smaller than the first activity influence factor threshold, it indicates that the fish is in a state of fullness, and it is judged that feeding is stopped. When the activity influence factor is larger than the first activity influence factor threshold, it is judged that the fish is not yet in a state of fullness, and control is performed according to the relationship between the activity influence factor and the activity influence factor threshold.

[0024] Optionally, when the activity influence factor is greater than the first activity influence factor threshold, it is determined that the fish is not yet in a state of satiation, and regulating according to the relationship between the activity influence factor and the activity influence factor threshold specifically includes:

[0025] When the activity influence factor is greater than the first activity influence factor threshold and less than the second activity influence factor threshold, it means that the fish is in a state of fullness, and it is judged to reduce the initial feeding frequency by 20%; when the activity influence factor is greater than the second activity influence factor threshold and less than the third activity influence factor threshold, it is judged that the fish is in a state of hunger, and it is judged to increase the initial feeding frequency by 20%; when the activity influence factor is greater than the third activity influence factor threshold.

[0026] Optionally, the calculation formula for the final feeding frequency is:

[0027]

[0028] Where T represents the final feeding frequency in the sub-area, T 0 It represents the initial feeding frequency in the sub-area, and U represents the activity impact factor.

[0029] On the other hand, the present invention also proposes a method for applying to the above-mentioned aquatic feeding method based on the aquatic floating head monitoring system, the method comprising:

[0030] Collecting fish floating head images taken by the floating head detection device in the detected water area and environmental information in the detected water area, and preliminarily determining the number of fish floating heads based on the fish floating head images;

[0031] The environmental information of the detected water area is processed by region to determine a number of sub-areas, and the floating head density is calculated according to the number of floating heads and the water area in each sub-area to obtain the floating head situation of each sub-area, determine the floating head dense area and sparse area, and determine the preliminary feeding frequency according to the floating head situation of each sub-area;

[0032] The activity behavior of the fish is judged according to the image of the floating head, the activity influence factor is calculated according to the activity behavior, and whether it is necessary to continue feeding is judged according to the activity influence factor. The initial feeding frequency is corrected according to the activity influence factor in each sub-area to determine the final feeding frequency, and the final feeding frequency information is sent to the feeding control module. The feeding control module controls the feeding execution module to perform feeding operations according to the information of the judgment unit.

[0033] Compared with the prior art, the beneficial effects of the present invention are as follows: the present application can accurately judge the appetite of fish through real-time data collection and analysis of the floating head monitoring equipment and the data processing module, so as to automatically adjust the feeding frequency according to the floating head situation and water quality parameters to avoid excessive or insufficient feeding. In addition, it also reduces feed waste and feeding costs, and at the same time, by dynamically adjusting the feeding strategy, it ensures that fish obtain appropriate nutrition, promotes their healthy growth, and improves breeding efficiency. In addition, the present invention has the ability to monitor water quality and fish behavior in real time, can respond to environmental changes in a timely manner, ensure that water quality remains in the best state, and help prevent diseases and improve fish survival rates. It reduces the labor intensity of breeders, reduces the error of manual feeding, improves management efficiency, and adapts to the needs of modern intelligent breeding. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0035] Figure 1A schematic diagram of an aquatic feeding system based on an aquatic floating head monitoring system provided by an embodiment of the present invention;

[0036] Figure 2 A flow chart of an aquatic feeding method based on an aquatic floating head monitoring system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0037] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the absence of conflict, the embodiments of the present invention and the features described in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0038] like Figure 1 As shown, it is a schematic diagram of an aquatic feeding system based on an aquatic floating head monitoring system provided by an embodiment of the present invention. It can be seen that

[0039] The present invention proposes an aquatic feeding method based on an aquatic floating head monitoring system, comprising:

[0040] A floating head detection device, a data processing device and a feeding device, wherein the floating head detection device is electrically connected to the data processing device, the data processing device is electrically connected to the feeding device, the feeding device includes a feeding control module and a feeding execution module, wherein the feeding control module is electrically connected to the data processing device, the feeding control module is electrically connected to the feeding execution module, the feeding control device is used to determine the feeding frequency, and the feeding execution module is used to feed according to the feeding frequency determined by the feeding control module; the data processing device includes a collection unit, a processing unit and a judgment unit, wherein,

[0041] The collecting unit is configured to collect the fish floating head images taken by the floating head detection device in the detected water area and the environmental information in the detected water area, and preliminarily determine the number of fish floating heads according to the fish floating head images;

[0042] The processing unit is configured to perform regional processing on the environmental information of the detected water area to determine a number of sub-areas, calculate the density of floating heads according to the number of floating heads and the water area in each sub-area, obtain the floating head situation of each sub-area, determine the dense floating head area and the sparse floating head area, and determine the preliminary feeding frequency according to the floating head situation of each sub-area;

[0043] The judgment unit is configured to judge the activity behavior of the fish based on the image of the floating head, calculate the activity influence factor based on the activity behavior, judge whether it is necessary to continue feeding based on the activity influence factor, correct the initial feeding frequency based on the water quality change in each sub-area to determine the final feeding frequency, and send the final feeding frequency information to the feeding control module. The feeding control module controls the feeding execution module to perform the feeding operation based on the information of the judgment unit.

[0044] It can be understood that the present invention relates to an aquaculture feeding system, which consists of three main parts: a floating head detection device, a data processing device and a feeding device. The floating head detection device is used to capture fish floating head images and environmental information in the detected water area. The data processing device includes a collection unit, a processing unit and a judgment unit, which are used to process the collected data, determine the preliminary feeding frequency, and make corrections based on the activity behavior of the fish and changes in water quality. The feeding device includes a feeding control module and a feeding execution module, which are used to perform actual feeding operations according to the feeding frequency determined by the data processing device.

[0045] It can also be seen that the floating head detection device is the front end of the system, responsible for real-time monitoring of the floating head behavior of fish, and preliminarily judging the number of fish through image recognition technology. The acquisition unit is responsible for collecting floating head images and environmental information, and is the basis of data processing. The processing unit processes the collected information, including regional processing, calculating floating head density, determining feeding intensive areas and sparse areas, and preliminarily determining the frequency. The judgment unit analyzes the activity behavior of fish, and the feeding control module receives the final feeding frequency information of the data processing device and is responsible for formulating the feeding plan. The feeding execution module performs specific feeding operations, such as automatic feeding of feed, according to the instructions of the feeding control module.

[0046] The aquatic feeding method of the present invention can significantly improve the automation level of aquaculture, optimize feed utilization efficiency, reduce waste, and also help improve the breeding environment and promote the healthy growth of fish through intelligent data processing and precise feeding control. In addition, the system can also flexibly adjust the feeding strategy according to real-time monitoring data to adapt to different breeding environments and changes in fish demand.

[0047] In this preferred embodiment, preliminarily determining the number of fish floating heads according to the fish floating head image specifically includes:

[0048] An object detection model is applied to each frame to identify floating fish, where consecutive frames are clustered to avoid counting the same fish repeatedly.

[0049] In this preferred embodiment, the environmental information of the detected water area is processed by region to determine several sub-regions:

[0050] The entire water area is divided into N fixed-size rectangular sub-areas through gridding. Environmental information is collected for each sub-area, and the density of fish floats in each sub-area is calculated based on the preliminary number of fish floats calculated by the collection unit. A float density threshold is preset to determine the dense and sparse areas.

[0051] In this preferred embodiment, the floating head density of each sub-area is calculated according to the preliminary number of fish floating heads calculated by the acquisition unit, and the calculation formula of the floating head density is:

[0052]

[0053] When D i >D 0 When D i <D 0 When , the sub-region is judged to be a sparse area;

[0054] Among them, D 0 Indicates the floating head density threshold, D i represents the floating head density of the ith sub-region, A i represents the number of floating fish in the ith sub-area, N i represents the area of ​​the i-th sub-region.

[0055] In this preferred embodiment, calculating the activity impact factor according to the activity behavior specifically includes:

[0056] The number of fish activities per unit time is counted, and the average number of fish activities in the sub-area is calculated. The activity impact factor is determined based on the average number of activities. The calculation formula is:

[0057]

[0058] Among them, U represents the activity influencing factor, Y represents the number of fish activities per unit time, and U 0 Represents the average number of fish activities in this sub-area.

[0059] The number of activities refers to the number of times fish move in a unit time, that is, the number of switches from a static state to a moving state and the number of switches from a moving state to a static state. The number of activities of fish in a unit time is counted.

[0060] In this preferred embodiment, judging whether to continue feeding according to the activity influencing factor specifically includes:

[0061] Three activity influence factor thresholds are set, namely, a first activity influence factor threshold U1, a second activity influence factor threshold U2 and a third activity influence factor threshold U3, and U1 is smaller than U2 and smaller than U3. When the activity influence factor is smaller than the first activity influence factor threshold, it indicates that the fish is in a state of fullness, and it is judged that feeding is stopped. When the activity influence factor is larger than the first activity influence factor threshold, it is judged that the fish is not yet in a state of fullness, and control is performed according to the relationship between the activity influence factor and the activity influence factor threshold.

[0062] In this preferred embodiment, when the activity influence factor is greater than the first activity influence factor threshold, it is determined that the fish is not yet in a state of satiety, and the regulation according to the relationship between the activity influence factor and the activity influence factor threshold specifically includes:

[0063] When the activity influence factor is greater than the first activity influence factor threshold and less than the second activity influence factor threshold, it means that the fish is in a state of fullness, and it is judged to reduce the initial feeding frequency by 20%; when the activity influence factor is greater than the second activity influence factor threshold and less than the third activity influence factor threshold, it is judged that the fish is in a state of hunger, and it is judged to increase the initial feeding frequency by 20%; when the activity influence factor is greater than the third activity influence factor threshold.

[0064] Understandably, an increase in the number of fish buoyancy activities does indicate that they are hungry, and fish may be searching for food through frequent buoyancy activities, especially when feeding time is approaching or feed is scarce.

[0065] In this preferred embodiment, the calculation formula of the final feeding frequency is:

[0066]

[0067] Where T represents the final feeding frequency in the sub-area, T 0 It represents the initial feeding frequency in the sub-area, and U represents the activity impact factor.

[0068] In summary, the present application provides an aquatic feeding system based on an aquatic floating head monitoring system. Through real-time data collection and analysis of the floating head monitoring equipment and the data processing module, the system can accurately judge the appetite of fish, thereby automatically adjusting the feeding frequency according to the floating head situation and water quality parameters to avoid excessive or insufficient feeding. Reduce feed waste and reduce feeding costs. At the same time, by dynamically adjusting the feeding strategy, ensure that fish obtain appropriate nutrition, promote their healthy growth, and improve breeding efficiency. The system has the ability to monitor water quality and fish behavior in real time, can respond to environmental changes in a timely manner, ensure that water quality remains in the best state, help prevent diseases and improve fish survival rates. Reduce the labor intensity of breeding personnel, reduce the error of manual feeding, improve management efficiency, and adapt to the needs of modern intelligent breeding. By accumulating historical data and analysis results, the system can provide a scientific basis for future feeding strategies and help the intelligentization and systematization of breeding management.

[0069] like Figure 2 As shown, an embodiment of the present invention provides an aquatic feeding method based on an aquatic floating head monitoring system, comprising:

[0070] Collecting the fish floating head images taken by the floating head detection device in the detected water area and the environmental information in the detected water area, and preliminarily determining the number of fish floating heads based on the fish floating head images;

[0071] The environmental information of the detected water area is processed by region to determine several sub-areas. According to the number of floating heads and the water area in each sub-area, the density of floating heads is calculated to obtain the floating head situation of each sub-area, determine the dense and sparse areas of floating heads, and determine the preliminary feeding frequency according to the floating head situation of each sub-area;

[0072] The activity behavior of the fish is judged according to the image of the floating head, the activity influence factor is calculated according to the activity behavior, and whether it is necessary to continue feeding is judged according to the activity influence factor. The initial feeding frequency is corrected according to the activity influence factor in each sub-area to determine the final feeding frequency, and the final feeding frequency information is sent to the feeding control module. The feeding control module controls the feeding execution module to perform feeding operations according to the information of the judgment unit.

[0073] It can be understood that the method uses a floating head detection device to collect fish floating head images and environmental information to preliminarily determine the number of fish floating heads. In addition, the water area is processed by region, the floating head density of each sub-region is calculated, and the floating head dense area and sparse area are determined. According to the floating head situation and water area of ​​each sub-region, the preliminary feeding frequency is determined. Combined with the fish activity behavior and water quality changes, the preliminary feeding frequency is corrected to determine the final feeding frequency. The final feeding frequency information is sent to the feeding control module to control the feeding execution module to perform the feeding operation.

[0074] This method realizes the intelligent management of aquaculture. By real-time monitoring of the floating head situation of fish, the feeding strategy is adjusted to improve the breeding efficiency. According to the floating head density and water quality information of each sub-area, accurate feeding is achieved to avoid waste of resources and reduce breeding costs. By analyzing the activity behavior of fish and changes in water quality, the feeding frequency is adjusted in real time to ensure the nutritional needs of fish at different growth stages and environmental conditions. This method helps to reduce water pollution caused by excessive feeding and realize a green and environmentally friendly breeding model. Moreover, this method can not only be applied to fish breeding, but also can be extended to other aquaculture fields, such as shrimp, crab, etc.

[0075] In summary, the present application provides an aquatic feeding method and system based on an aquatic floating head monitoring system. The system collects and analyzes real-time data through floating head monitoring equipment and data processing modules. The system can accurately judge the appetite of fish, thereby automatically adjusting the feeding frequency according to the floating head situation and water quality parameters to avoid excessive or insufficient feeding. Reduce feed waste and feeding costs. At the same time, by dynamically adjusting the feeding strategy, ensure that fish obtain appropriate nutrition, promote their healthy growth, and improve breeding efficiency. The system has the ability to monitor water quality and fish behavior in real time, can respond to environmental changes in a timely manner, ensure that water quality remains in the best state, help prevent diseases and improve fish survival rates. Reduce the labor intensity of breeding personnel, reduce the error of manual feeding, improve management efficiency, and adapt to the needs of modern intelligent breeding. By accumulating historical data and analysis results, the system can provide a scientific basis for future feeding strategies and help the intelligence and systematization of breeding management.

[0076] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. An aquatic feeding system based on an aquatic floating head monitoring system, characterized in that: include: A floating head detection device, a data processing device and a feeding device, wherein the floating head detection device is electrically connected to the data processing device, the data processing device is electrically connected to the feeding device, the feeding device comprises a feeding control module and a feeding execution module, wherein the feeding control module is electrically connected to the data processing device, the feeding control module is electrically connected to the feeding execution module, the feeding control device is used to determine the feeding frequency, and the feeding execution module is used to feed according to the feeding frequency determined by the feeding control module; the data processing device comprises a collection unit, a processing unit and a judgment unit; Wherein, the acquisition unit is configured to acquire the fish floating head images taken by the floating head detection device in the detected water area and the environmental information in the detected water area, and preliminarily determine the number of fish floating heads according to the fish floating head images; The processing unit is configured to perform regional processing on the environmental information of the detected water area to determine a number of sub-areas, calculate the density of floating heads according to the number of floating heads and the water area in each sub-area, obtain the floating head situation of each sub-area, determine the dense floating head area and the sparse floating head area, and determine the preliminary feeding frequency according to the floating head situation of each sub-area; The judgment unit is configured to judge the activity behavior of the fish based on the image of the floating head, calculate the activity influence factor based on the activity behavior, judge whether to continue feeding based on the activity influence factor, correct the preliminary feeding frequency based on the activity influence factor in each sub-area to determine the final feeding frequency, and send the final feeding frequency information to the feeding control module, and the feeding control module controls the feeding execution module to perform feeding operations based on the information of the judgment unit.

2. The aquatic feeding system based on the aquatic floating head monitoring system according to claim 1 is characterized in that: The preliminary determination of the number of fish floating heads according to the fish floating head image specifically includes: An object detection model is applied to each frame to identify floating fish, where consecutive frames are clustered to avoid counting the same fish repeatedly.

3. The aquatic feeding system based on the aquatic floating head monitoring system according to claim 2 is characterized in that: The step of performing regional processing on the environmental information of the detected water area to determine a plurality of sub-areas is specifically: The entire water area is divided into N rectangular sub-areas of fixed size through gridding, and environmental information is collected for each sub-area. The density of floating heads in each sub-area is calculated based on the preliminary number of fish floating heads calculated by the collection unit, and a floating head density threshold is preset to determine the dense and sparse floating head areas.

4. The aquatic feeding system based on the aquatic floating head monitoring system according to claim 3 is characterized in that: The floating head density of each sub-area is calculated according to the preliminary number of fish floating heads calculated by the acquisition unit, and the calculation formula of the floating head density is: When D i >D0, the sub-region is judged as a dense area. i When <D0, the sub-region is judged as a sparse area; Where D0 represents the floating head density threshold, D i represents the floating head density of the ith sub-region, A i represents the number of floating fish in the ith sub-area, N i represents the area of ​​the i-th sub-region.

5. The aquatic feeding system based on the aquatic floating head monitoring system according to claim 4 is characterized in that: The calculation of the activity impact factor according to the activity behavior specifically includes: The number of fish activities per unit time is counted, and the average number of fish activities in the sub-area is calculated. The activity impact factor is determined based on the average number of activities. The calculation formula is: Among them, U represents the activity influencing factor, Y represents the number of activities of fish in a unit time, and U0 represents the average number of activities of fish in the sub-area.

6. The aquatic feeding system based on the aquatic floating head monitoring system according to claim 5 is characterized in that: The determination of whether to continue feeding according to the activity influencing factor specifically includes: Three activity influence factor thresholds are set, namely, a first activity influence factor threshold U1, a second activity influence factor threshold U2 and a third activity influence factor threshold U3, and U1 is smaller than U2 and smaller than U3. When the activity influence factor is smaller than the first activity influence factor, it indicates that the fish is in a state of fullness, and it is judged that feeding is stopped. When the activity influence factor is greater than the first activity influence factor threshold, it is judged that the fish is not yet in a state of fullness, and regulation is performed according to the relationship between the activity influence factor and the activity influence factor threshold.

7. The aquatic feeding system based on the aquatic floating head monitoring system according to claim 6 is characterized in that: When the activity influence factor is greater than the first activity influence factor, it is determined that the fish is not yet in a state of satiation, and the regulation according to the relationship between the activity influence factor and the activity influence factor threshold specifically includes: When the activity influence factor is greater than the first activity influence factor threshold and less than the second activity influence factor threshold, it means that the fish is partially in a state of fullness, and it is judged to reduce the initial feeding frequency by 20%; when the activity influence factor is greater than the second activity influence factor threshold and less than the third activity influence factor threshold, it is judged that the fish is partially in a state of hunger, and it is judged to increase the initial feeding frequency by 20%; when the activity influence factor is greater than the third activity influence factor threshold, it is judged that the fish is in a state of hunger, and it is judged to increase the initial feeding frequency by 50%.

8. The aquatic feeding system based on the aquatic floating head monitoring system according to claim 7 is characterized in that: The calculation formula of the final feeding frequency is: Among them, T represents the final feeding frequency in the sub-area, T0 represents the initial feeding frequency in the sub-area, and U represents the activity impact factor.

9. A method for feeding aquatic products based on a monitoring system for aquatic products floating head, applied to the feeding system for aquatic products based on a monitoring system for aquatic products floating head according to any one of claims 1 to 9, characterized in that: The method comprises: Collecting fish floating head images taken by the floating head detection device in the detected water area and environmental information in the detected water area, and preliminarily determining the number of fish floating heads based on the fish floating head images; The environmental information of the detected water area is processed by region to determine a number of sub-areas, and the floating head density is calculated according to the number of floating heads and the water area in each sub-area to obtain the floating head situation of each sub-area, determine the floating head dense area and sparse area, and determine the preliminary feeding frequency according to the floating head situation of each sub-area; The activity behavior of the fish is judged according to the image of the floating head, the activity influence factor is calculated according to the activity behavior, and whether it is necessary to continue feeding is judged according to the activity influence factor. The initial feeding frequency is corrected according to the activity influence factor in each sub-area to determine the final feeding frequency, and the final feeding frequency information is sent to the feeding control module. The feeding control module controls the feeding execution module to perform feeding operations according to the information of the judgment unit.

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