Rice field crayfish growth monitoring method and related equipment
By placing ecological buoys in rice fields to collect data and installing monitors on crayfish, and analyzing the growth of crayfish in combination with water quality, picture and sound data, the problems of large manpower consumption and lagging monitoring of monitoring results in the existing technology are solved, and efficient and real-time crayfish growth monitoring is achieved.
Patent Information
- Application Number
- CN202510228120.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-28
- Publication Date
- 2025-04-08
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In the prior art, crayfish growth monitoring has problems such as large labor consumption and lagging monitoring results, especially in rice field environments, it is difficult to effectively monitor crayfish growth.
By placing ecological buoys in the rice fields, water quality, underwater picture and underwater sound data were collected, the initial growth data of crayfish were analyzed, and the monitor was installed on the captured crayfish. Ultrasonic and infrared light data were used to monitor the growth status of surrounding lobsters, and the growth status of crayfish was determined based on the initial and peripheral growth data.
It reduces the consumption of human resources, improves the comprehensiveness and real-time nature of crayfish growth monitoring, and reduces the lag of monitoring results.
Smart Images
Figure CN119779415A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of crayfish growth monitoring, and in particular to a rice field crayfish growth monitoring method and related equipment. Background Art
[0002] my country is a major consumer of crayfish, so many places raise crayfish in different ways, especially the now popular multi-in-one breeding method, such as breeding crayfish in rice fields, so that crayfish and rice can be raised in the same area, improving breeding efficiency.
[0003] In the prior art, the growth monitoring of crayfish generally adopts the method of manually capturing and sampling crayfish to determine the overall growth of crayfish in rice fields. However, due to the complex environment in rice fields and the fact that crayfish often hide in mud or aquatic plants, it is difficult and disturbing to directly observe or capture crayfish, which is very labor-intensive and causes a lag in the monitoring results of crayfish. Summary of the invention
[0004] The object of the present invention is to provide a rice field crayfish growth monitoring method and related equipment to solve the problems raised in the above background technology.
[0005] In a first aspect, the present application provides a method for monitoring the growth of crayfish in a rice field, the method comprising: Acquire the size data of the rice field, and place a plurality of ecological buoys in the rice field according to the size data, wherein the ecological buoys acquire water quality data, underwater image data, and underwater sound data in the rice field; Extracting the water quality data, the underwater image data and the underwater sound data to obtain target water quality data, target underwater image and target underwater sound; Analyzing the target water quality data, the target underwater image, and the target underwater sound to obtain initial growth data of the crayfish; The number of crayfish in the rice field is obtained according to the initial growth data, and the crayfish are captured according to the number of crayfish to obtain target lobsters, and a monitor is installed on the target lobsters, wherein the monitor emits ultrasonic waves and infrared light to the environment around the target lobsters, and receives returned ultrasonic wave data and infrared light data; Screening the ultrasonic data and the infrared light data to obtain target lobster data, and obtaining surrounding lobster growth data based on the target lobster data; The growth status of the crayfish in the rice field is obtained by combining the surrounding crayfish growth data and the initial growth data.
[0006] Preferably, the step of obtaining the size data of the rice field, placing a plurality of ecological buoys in the rice field according to the size data, and obtaining the water quality data, underwater image data and underwater sound data in the rice field by the ecological buoys is specifically as follows: Acquiring size data of a rice field, and regularizing the rice field according to the size data to obtain regularized rice field data; Divide the rice field into grids based on the regularized rice field data to obtain rice field division grids, and obtain network nodes based on the rice field division network; According to the network nodes, a plurality of node positions are obtained, and an ecological buoy is placed at each of the node positions; The ecological buoy acquires water quality data, underwater image data and underwater sound data in the rice field.
[0007] Preferably, after the step of the eco-buoy acquiring water quality data, underwater image data and underwater sound data in the rice field, the method further comprises: Obtaining the biological habits of crayfish in the rice field, and obtaining target water quality conditions, target food conditions, and target habitat conditions suitable for the survival of crayfish based on the living habits; Obtaining optimal growth conditions for crayfish according to the target water quality conditions, the target food conditions, and the target habitat conditions; Based on the biological habits, a plurality of biological sounds produced by crayfish when they are active are obtained, and a crayfish sound set is generated according to the plurality of biological sounds; Appearance data of crayfish is obtained, and features are extracted from the appearance data to obtain an appearance feature set of crayfish.
[0008] Preferably, the step of extracting the water quality data, the underwater picture data and the underwater sound data to obtain target water quality data, target underwater picture and target underwater sound is specifically: Based on the water quality data, extracting components from the water quality data to obtain chemical components, physical components, and biological components of the water in the rice field; The chemical components, the physical components and the biological components are screened using the optimal growth conditions as screening conditions to obtain target chemical conditions, target physical conditions and target biological conditions, and the growth status of the crayfish is predicted based on the target chemical conditions, the target physical conditions and the target biological conditions to obtain first growth data; Based on the underwater picture data, extracting picture features from the underwater picture data to obtain underwater picture features; The underwater picture features are screened based on the appearance feature set to obtain target picture features, the appearance data of the crayfish is obtained according to the target picture features, and the crayfish is described according to the appearance data to obtain second growth data; Screening the underwater sound data according to the crayfish sound set to obtain target lobster sounds and sound changes; The third growth data of the crayfish is obtained according to the target lobster sound and the change of the sound, and the initial growth data of the crayfish is obtained by combining the first growth data, the second growth data and the third growth data.
[0009] Preferably, the number of crayfish in the rice field is obtained based on the initial growth data, and the crayfish are captured according to the number of crayfish to obtain target lobsters, and the step of installing a monitor on the target lobsters is specifically: Based on the initial growth data, the number of crayfish in the rice field is obtained, and the distribution of crayfish in the rice field is obtained according to the target lobster sound and target picture features; Capturing crayfish according to the number of lobsters and the distribution of the lobsters, and screening the captured crayfish to obtain target lobsters; The body structure of the crayfish is obtained, an installation position is determined according to the body structure, and a monitor is installed at the installation position.
[0010] Preferably, the monitor transmits ultrasonic waves and infrared light to the environment around the target lobster, and receives the returned ultrasonic wave data and infrared light data, specifically, the steps of: The monitor transmits a detection signal to the vicinity of the target lobster and receives a return signal, and determines whether there are lobsters to be monitored around the target lobster according to the return signal; If it is determined that there are no lobsters to be monitored around the target lobster, the monitor enters a silent state; If it is determined that there are lobsters to be monitored around the target lobster, the monitor transmits ultrasonic waves and infrared light to the surrounding environment, and receives returned ultrasonic wave data and infrared light data.
[0011] Preferably, the ultrasonic data and the infrared light data are screened to obtain target lobster data, and the step of obtaining the growth data of surrounding lobsters according to the target lobster data is specifically as follows: The monitor sends the received ultrasonic data and infrared light data to the nearest ecological buoy; The ecological buoy screens the ultrasonic data and the infrared light data to obtain target ultrasonic data and target infrared light data related to crayfish; Performing data division on the target ultrasonic data to obtain lobster ultrasonic data corresponding to each surrounding lobster, and performing data division on the target infrared light data to obtain lobster infrared light data corresponding to each surrounding lobster; The lobster ultrasonic data and lobster infrared data corresponding to each crayfish are sorted to obtain the target lobster data of each crayfish; According to the target lobster data, the individual size, activity and health status of each crayfish are obtained, and the growth data of surrounding lobsters are obtained according to the individual size, activity and health status.
[0012] Preferably, the step of obtaining the growth status of crayfish in the rice field by combining the surrounding crayfish growth data and the initial growth data is specifically as follows: Combining the surrounding lobster growth data and the initial growth data, the overall growth data of the crayfish in the rice field is obtained; According to the overall growth data, the overall size, overall body surface characteristics and overall behavioral performance of the crayfish are obtained; The growth status of the crayfish in the rice field is obtained according to the overall size of the crayfish, the overall body surface characteristics and the overall behavioral performance.
[0013] In a second aspect, the present application provides a device related to the growth monitoring of crayfish in rice fields, the device comprising: Data acquisition module: used to obtain the size data of the rice field, and place multiple ecological buoys in the rice field according to the size data, and the ecological buoys obtain water quality data, underwater image data and underwater sound data in the rice field; Data screening module: used for extracting the water quality data, the underwater picture data and the underwater sound data to obtain target water quality data, target underwater picture and target underwater sound; Data analysis module: used to analyze the target water quality data, the target underwater picture and the target underwater sound to obtain the initial growth data of the crayfish; Monitor module: used for obtaining the number of crayfish in the rice field according to the initial growth data, and catching the crayfish according to the number of crayfish to obtain target lobsters, installing a monitor on the target lobster, and transmitting ultrasonic waves and infrared light to the environment around the target lobster, and receiving returned ultrasonic wave data and infrared light data; Lobster analysis module: used for screening the ultrasonic data and the infrared light data to obtain target lobster data, and obtaining surrounding lobster growth data according to the target lobster data; Status confirmation module: used to obtain the growth status of crayfish in the rice field by combining the surrounding crayfish growth data and the initial growth data.
[0014] In summary, the present application includes at least one of the following beneficial technical effects: By placing ecological buoys in order in the rice fields, the water quality data, underwater images and underwater sounds in the rice fields are collected and preliminarily processed to obtain the target water quality data, target underwater images and target underwater sounds, and then the initial growth data of crayfish is obtained based on the above three data. Then, some crayfish are caught in the rice fields, and monitors are installed on them. The monitors send ultrasonic waves and infrared light to the surrounding areas, and send the received ultrasonic and infrared light data to the nearest ecological buoy. After receiving these data, the ecological buoy processes them to obtain the surrounding crayfish growth data of other crayfish in the rice fields. Combined with the surrounding crayfish growth data and the initial growth data, the growth status of the crayfish in the rice fields is obtained. This reduces the consumption of human resources when monitoring the growth of crayfish, while improving the comprehensiveness and real-time nature of crayfish growth monitoring. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] Figure 1 It is a step flow chart of a method for monitoring the growth of crayfish in rice fields provided in an embodiment of the present application.
[0016] Figure 2 This is a module block diagram of a device related to rice field crayfish growth monitoring provided by an embodiment of the present application; Explanation of the accompanying drawings: 1. Data acquisition module; 2. Data screening module; 3. Data analysis module; 4. Monitor module; 5. Lobster analysis module; 6. Status confirmation module. DETAILED DESCRIPTION
[0017] The following combination Figure 1-Figure 2 The present application is further described in detail, but the embodiments of the present invention are not limited thereto.
[0018] The embodiments of the present application disclose a method for monitoring the growth of crayfish in rice fields and related equipment.
[0019] In this embodiment, a method for monitoring the growth of crayfish in a rice field is provided, the method comprising: Obtaining the size data of the rice field, placing a plurality of ecological buoys in the rice field according to the size data, and the ecological buoys obtaining the water quality data, underwater image data and underwater sound data in the rice field; Extracting the water quality data, underwater image data and underwater sound data to obtain target water quality data, target underwater image data and target underwater sound data; The initial growth data of crayfish is obtained by analyzing the target water quality data, the target underwater images and the target underwater sounds; The number of crayfish in the rice field is obtained according to the initial growth data, and the crayfish are captured according to the number of crayfish to obtain target lobsters. A monitor is installed on the target lobster, and the monitor emits ultrasonic waves and infrared light to the environment around the target lobster, and receives the returned ultrasonic wave data and infrared light data; The ultrasonic data and infrared light data are screened to obtain the target lobster data, and the growth data of the surrounding lobsters are obtained based on the target lobster data; Combining the surrounding lobster growth data and the initial growth data, the growth status of the crayfish in the rice field was obtained.
[0020] It should be pointed out that the above modules are only the basic steps of this embodiment. In the specific implementation process, some steps can be appropriately added, reduced or modified without affecting the overall implementation effect.
[0021] The steps of obtaining the size data of the rice field, placing a plurality of ecological buoys in the rice field according to the size data, and obtaining the water quality data, underwater image data and underwater sound data in the rice field by the ecological buoys are specifically as follows: Acquire size data of the rice field, regularize the rice field according to the size data, and obtain regularized rice field data; Based on the regular rice field data, the rice field is gridded to obtain the rice field division grid, and the network nodes are obtained according to the rice field division network; According to the network nodes, multiple node positions are obtained, and an ecological buoy is placed at each node position; The ecological buoy obtains water quality data, underwater image data and underwater sound data in the rice fields.
[0022] In application, taking a rice field of a certain acre in size as an example, the size data of the rice field is obtained as 25.82m*25.82m. The rice field is regularized according to the stored data, and the regularized rice field data is 26m*26m. Then, it is gridded according to the size, and the size of each grid is 1m*1m, that is, 676 squares are obtained. Then, the number of corners of each square is obtained based on the 676 squares, and the total number is 729, that is, 729 line intersections. Then, an ecological buoy is placed at the position of each network node. The ecological buoy integrates multiple sensors to collect water quality data, underwater image data and underwater sound data in the rice field.
[0023] After the steps of obtaining water quality data, underwater image data and underwater sound data in the rice field by the eco-buoy, the following steps are also included: Obtain the biological habits of crayfish in rice fields, and obtain target water quality conditions, target food conditions and target habitat conditions suitable for the survival of crayfish based on the living habits; According to the target water quality conditions, target food conditions and target habitat conditions, the optimal growth conditions for crayfish are obtained; Based on biological habits, a variety of biological sounds produced by crayfish during activities are obtained, and a crayfish sound set is generated based on the various biological sounds; The appearance data of the crayfish is obtained, and features are extracted from the appearance data to obtain an appearance feature set of the crayfish.
[0024] In application, taking a rice field of a certain acre as an example, the biological habits of crayfish in the rice field are obtained, and then based on the living habits, the water quality, food conditions and habitat conditions suitable for the survival of crayfish are obtained, such as clean and pollution-free water, sufficient dissolved oxygen, suitable pH value, suitable water temperature, hidden caves, abundant aquatic plants, diverse food, and stable supply. According to the above conditions, the optimal growth conditions of crayfish are obtained. Then, based on the biological habits, the biological sounds of crayfish moving, eating, fighting, sleeping, etc. in the water are obtained, and a crayfish sound set is generated. Then the appearance data of the lower crayfish is obtained, including the body size, color and other data at different periods, and feature extraction is performed to obtain the appearance feature set of crayfish.
[0025] The steps of extracting the water quality data, underwater picture data and underwater sound data to obtain target water quality data, target underwater picture and target underwater sound are specifically as follows: Based on the water quality data, the components of the water quality data are extracted to obtain the chemical composition, physical composition and biological composition of the water in the rice fields; The chemical components, physical components and biological components are screened using the optimal growth conditions as screening conditions to obtain target chemical conditions, target physical conditions and target biological conditions, and the growth status of the crayfish is predicted based on the target chemical conditions, target physical conditions and target biological conditions to obtain first growth data; Based on the underwater picture data, extracting picture features from the underwater picture data to obtain underwater picture features; The underwater picture features are screened based on the appearance feature set to obtain target picture features, the appearance data of the crayfish is obtained according to the target picture features, and the crayfish is described according to the appearance data to obtain second growth data; The underwater sound data is screened according to the crayfish sound set to obtain the target lobster sound and the sound change; According to the sound of the target lobster and the change of the sound, the third growth data of the crayfish is obtained, and the initial growth data of the crayfish is obtained by combining the first growth data, the second growth data and the third growth data.
[0026] In use, taking a rice field of a certain acre as an example, the water quality data collected is processed to obtain the chemical components contained in the water, such as water hardness, dissolved oxygen, ammonia nitrogen, nitrite, heavy metals and other chemical data, as well as physical components, including water temperature, conductivity, chromaticity, turbidity, suspended solids and other physical data, and biological components, including bacterial species, bacterial quantity, plankton, benthic animals, etc. The growth status of crayfish is predicted based on the above three components to obtain the first growth data. Then, based on the underwater picture data, feature extraction is performed to obtain a variety of underwater picture features, including the picture features of crayfish, the picture features of rice, the picture features of silt, etc. The picture features of crayfish are screened out, and then the appearance data of crayfish is obtained based on these features. Then, the crayfish is described based on the appearance data to obtain the second growth data. Then, the underwater sound data is screened to obtain the target crayfish sound when the crayfish is moving, eating, sleeping, etc., as well as the sound changes of each sound, and the third growth data of the crayfish is obtained based on the sound of the crayfish. The initial growth data of crayfish are obtained by combining the above three growth data.
[0027] The number of crayfish in the rice field is obtained based on the initial growth data, and the crayfish are captured according to the number of crayfish to obtain the target lobster, and the steps of installing the monitor on the target lobster are as follows: Based on the initial growth data, the number of crayfish in the rice field is obtained, and the distribution of crayfish in the rice field is obtained according to the target lobster sound and target image characteristics; Catch crayfish according to the number and distribution of lobsters, and screen the captured crayfish to obtain target lobsters; Obtain the body structure of the crayfish, determine the installation location based on the body structure, and install the monitor at the installation location.
[0028] During application, taking a rice field of one acre in size as an example, based on the initial growth data, it was found that the number of crayfish in the rice field was about 600. At the same time, it was determined that these crayfish were mostly distributed in the marginal areas of the rice field. Based on the above situation, the crayfish were captured. 30 crayfish were captured, and monitors were installed on the backs of the crayfish according to their body structures.
[0029] The steps of the monitor transmitting ultrasonic waves and infrared light to the environment around the target lobster and receiving the returned ultrasonic wave data and infrared light data are as follows: The monitor transmits a detection signal to the vicinity of the target lobster and receives a return signal, and determines whether there are lobsters to be monitored around the target lobster based on the return signal; If it is determined that there are no lobsters to be monitored around the target lobster, the monitor will enter a silent state; If it is determined that there are lobsters to be monitored around the target lobster, the monitor will emit ultrasonic waves and infrared light to the surrounding environment and receive returned ultrasonic data and infrared light data.
[0030] In use, taking a rice field of one acre as an example, the monitor follows the movement of crayfish, transmits detection signals to the surrounding area and receives return signals. When there are no crayfish around, the monitor is in silent state to reduce energy consumption. When crayfish appear around, the monitor transmits ultrasonic and infrared light to the surrounding environment and receives reflected ultrasonic and infrared light data.
[0031] The steps of filtering the ultrasonic data and the infrared light data to obtain the target lobster data and obtaining the growth data of the surrounding lobsters according to the target lobster data are as follows: The monitor sends the received ultrasonic and infrared data to the nearest eco-buoy; The ecological buoy screens the ultrasonic data and infrared light data to obtain target ultrasonic data and target infrared light data related to crayfish; The target ultrasonic data is divided into data to obtain the lobster ultrasonic data corresponding to each surrounding lobster, and the target infrared data is divided into data to obtain the lobster infrared data corresponding to each surrounding lobster; The lobster ultrasonic data and lobster infrared data corresponding to each crayfish are sorted to obtain the target lobster data of each crayfish; Based on the target lobster data, the individual size, activity and health status of each crayfish are obtained, and the growth data of surrounding lobsters are obtained based on the individual size, activity and health status.
[0032] During use, taking a rice field of one acre in size as an example, the monitor will forward the returned ultrasonic data and infrared light data to the ecological buoy closest to it. The ecological buoy will screen the received ultrasonic data and infrared light data, delete the data that is not related to crayfish, and retain only the target ultrasonic data and target infrared light data related to crayfish. These two data are then divided to determine the crayfish corresponding to each data strip, and the crayfish ultrasonic data and crayfish infrared data corresponding to each crayfish are obtained. The target crayfish data of each crayfish is obtained based on these two data, and the individual size, activity and health status of each crayfish are obtained based on the target crayfish data. Based on these three pieces of information, the surrounding crayfish growth data of each crayfish is obtained.
[0033] Combining the surrounding lobster growth data and the initial growth data, the steps to obtain the growth status of the crayfish in the rice field are as follows: Combined with the surrounding lobster growth data and initial growth data, the overall growth data of crayfish in the rice field was obtained; Based on the overall growth data, the overall size, overall body surface characteristics and overall behavioral performance of the crayfish were obtained; The growth status of crayfish in rice fields is obtained based on their overall size, overall body surface characteristics and overall behavioral performance.
[0034] In application, taking a rice field of one acre in size as an example, the surrounding crayfish growth data and the initial growth data are integrated to obtain the overall growth data of the crayfish in the rice field. According to the overall growth data, the overall size of the crayfish is A, the overall body surface characteristics are B, and the overall behavioral performance is C. Then, the growth of the crayfish is described based on the data A, B, and C to obtain the growth status of the crayfish.
[0035] The embodiment of the present invention provides a device related to the growth monitoring of crayfish in a rice field, using any one of the above-mentioned methods for monitoring the growth of crayfish in a rice field, and the device includes the following contents: Data acquisition module: used to obtain the size data of the rice field. Multiple ecological buoys are placed in the rice field according to the size data. The ecological buoys obtain water quality data, underwater image data, and underwater sound data in the rice field. Data screening module: used to extract water quality data, underwater image data and underwater sound data to obtain target water quality data, target underwater image and target underwater sound; Data analysis module: used to analyze the target water quality data, target underwater images and target underwater sounds to obtain the initial growth data of crayfish; Monitor module: used to obtain the number of crayfish in the rice field according to the initial growth data, and to capture the crayfish according to the number of crayfish to obtain the target lobsters, and to install a monitor on the target lobsters. The monitor emits ultrasonic waves and infrared light to the environment around the target lobsters, and receives the returned ultrasonic wave data and infrared light data; Lobster analysis module: used to screen ultrasonic data and infrared light data to obtain target lobster data, and obtain surrounding lobster growth data based on the target lobster data; Status confirmation module: used to combine the surrounding lobster growth data and initial growth data to obtain the growth status of crayfish in the rice field.
[0036] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.
Claims
1. A method for monitoring the growth of crayfish in rice fields, characterized in that: The following steps are involved: Acquire the size data of the rice field, and place a plurality of ecological buoys in the rice field according to the size data, wherein the ecological buoys acquire water quality data, underwater image data, and underwater sound data in the rice field; Extracting the water quality data, the underwater image data and the underwater sound data to obtain target water quality data, target underwater image and target underwater sound; Analyzing the target water quality data, the target underwater image, and the target underwater sound to obtain initial growth data of the crayfish; The number of crayfish in the rice field is obtained according to the initial growth data, and the crayfish are captured according to the number of crayfish to obtain target lobsters, and a monitor is installed on the target lobsters, wherein the monitor emits ultrasonic waves and infrared light to the environment around the target lobsters, and receives returned ultrasonic wave data and infrared light data; Screening the ultrasonic data and the infrared light data to obtain target lobster data, and obtaining surrounding lobster growth data based on the target lobster data; The growth status of the crayfish in the rice field is obtained by combining the surrounding crayfish growth data and the initial growth data.
2. A rice field crayfish growth monitoring method according to claim 1, characterized in that: The steps of obtaining the size data of the rice field, placing a plurality of ecological buoys in the rice field according to the size data, and obtaining the water quality data, underwater image data and underwater sound data in the rice field by the ecological buoys are specifically as follows: Acquiring size data of a rice field, and regularizing the rice field according to the size data to obtain regularized rice field data; Divide the rice field into grids based on the regularized rice field data to obtain rice field division grids, and obtain network nodes based on the rice field division network; According to the network nodes, a plurality of node positions are obtained, and an ecological buoy is placed at each of the node positions; The ecological buoy acquires water quality data, underwater image data and underwater sound data in the rice field.
3. A rice field crayfish growth monitoring method according to claim 2, characterized in that: After the steps of obtaining water quality data, underwater image data and underwater sound data in the rice field by the eco-buoy, the following steps are also included: Obtaining the biological habits of crayfish in the rice field, and obtaining target water quality conditions, target food conditions, and target habitat conditions suitable for the survival of crayfish based on the living habits; Obtaining optimal growth conditions for crayfish according to the target water quality conditions, the target food conditions, and the target habitat conditions; Based on the biological habits, a plurality of biological sounds produced by crayfish when they are active are obtained, and a crayfish sound set is generated according to the plurality of biological sounds; Appearance data of crayfish is obtained, and features are extracted from the appearance data to obtain an appearance feature set of crayfish.
4. A rice field crayfish growth monitoring method according to claim 3, characterized in that: The step of extracting the water quality data, the underwater picture data and the underwater sound data to obtain target water quality data, target underwater picture and target underwater sound is specifically as follows: Based on the water quality data, extracting components from the water quality data to obtain chemical components, physical components, and biological components of the water in the rice field; The chemical components, the physical components and the biological components are screened using the optimal growth conditions as screening conditions to obtain target chemical conditions, target physical conditions and target biological conditions, and the growth status of the crayfish is predicted based on the target chemical conditions, the target physical conditions and the target biological conditions to obtain first growth data; Based on the underwater picture data, extracting picture features from the underwater picture data to obtain underwater picture features; The underwater picture features are screened based on the appearance feature set to obtain target picture features, the appearance data of the crayfish is obtained according to the target picture features, and the crayfish is described according to the appearance data to obtain second growth data; Screening the underwater sound data according to the crayfish sound set to obtain target lobster sounds and sound changes; The third growth data of the crayfish is obtained according to the target lobster sound and the change of the sound, and the initial growth data of the crayfish is obtained by combining the first growth data, the second growth data and the third growth data.
5. A rice field crayfish growth monitoring method according to claim 4, characterized in that: The steps of obtaining the number of crayfish in the rice field based on the initial growth data, capturing the crayfish according to the number of crayfish to obtain target lobsters, and installing a monitor on the target lobsters are specifically as follows: Based on the initial growth data, the number of crayfish in the rice field is obtained, and the distribution of crayfish in the rice field is obtained according to the target lobster sound and target picture features; Capturing crayfish according to the number of lobsters and the distribution of the lobsters, and screening the captured crayfish to obtain target lobsters; The body structure of the crayfish is obtained, an installation position is determined according to the body structure, and a monitor is installed at the installation position.
6. A rice field crayfish growth monitoring method according to claim 5, characterized in that: The monitor transmits ultrasonic waves and infrared light to the environment around the target lobster, and receives returned ultrasonic wave data and infrared light data, specifically: The monitor transmits a detection signal to the vicinity of the target lobster and receives a return signal, and determines whether there are lobsters to be monitored around the target lobster according to the return signal; If it is determined that there are no lobsters to be monitored around the target lobster, the monitor enters a silent state; If it is determined that there are lobsters to be monitored around the target lobster, the monitor transmits ultrasonic waves and infrared light to the surrounding environment, and receives returned ultrasonic wave data and infrared light data.
7. A rice field crayfish growth monitoring method according to claim 6, characterized in that: The steps of screening the ultrasonic data and the infrared light data to obtain target lobster data, and obtaining surrounding lobster growth data according to the target lobster data are specifically as follows: The monitor sends the received ultrasonic data and infrared light data to the nearest ecological buoy; The ecological buoy screens the ultrasonic data and the infrared light data to obtain target ultrasonic data and target infrared light data related to crayfish; Performing data division on the target ultrasonic data to obtain lobster ultrasonic data corresponding to each surrounding lobster, and performing data division on the target infrared light data to obtain lobster infrared light data corresponding to each surrounding lobster; The lobster ultrasonic data and lobster infrared data corresponding to each crayfish are sorted to obtain the target lobster data of each crayfish; According to the target lobster data, the individual size, activity and health status of each crayfish are obtained, and the growth data of surrounding lobsters are obtained according to the individual size, activity and health status.
8. A rice field crayfish growth monitoring method according to claim 7, characterized in that: The step of obtaining the growth status of crayfish in the rice field by combining the surrounding crayfish growth data and the initial growth data is specifically as follows: Combining the surrounding lobster growth data and the initial growth data, the overall growth data of the crayfish in the rice field is obtained; According to the overall growth data, the overall size, overall body surface characteristics and overall behavioral performance of the crayfish are obtained; The growth status of the crayfish in the rice field is obtained according to the overall size of the crayfish, the overall body surface characteristics and the overall behavioral performance.
9. A device for monitoring the growth of crayfish in rice fields, the device using a method for monitoring the growth of crayfish as claimed in any one of claims 1 to 8, characterized in that: The device comprises: Data acquisition module: used to obtain the size data of the rice field, and place multiple ecological buoys in the rice field according to the size data, and the ecological buoys obtain water quality data, underwater image data and underwater sound data in the rice field; Data screening module: used for extracting the water quality data, the underwater picture data and the underwater sound data to obtain target water quality data, target underwater picture and target underwater sound; Data analysis module: used to analyze the target water quality data, the target underwater picture and the target underwater sound to obtain the initial growth data of the crayfish; Monitor module: used for obtaining the number of crayfish in the rice field according to the initial growth data, and catching the crayfish according to the number of crayfish to obtain target lobsters, installing a monitor on the target lobster, and transmitting ultrasonic waves and infrared light to the environment around the target lobster, and receiving returned ultrasonic wave data and infrared light data; Lobster analysis module: used for screening the ultrasonic data and the infrared light data to obtain target lobster data, and obtaining surrounding lobster growth data according to the target lobster data; Status confirmation module: used to obtain the growth status of crayfish in the rice field by combining the surrounding crayfish growth data and the initial growth data.