Comprehensive monitoring system for diseases, pests and weeds of organic rice

Abstract

The invention provides a comprehensive monitoring system for diseases, weeds and weeds of organic rice, and relates to the technical field of agriculture, the comprehensive monitoring system comprises an upper computer, a main node device and a plurality of sub-node devices, the main node device is in communication connection with the upper computer and is used for receiving and sending monitoring data, and the plurality of sub-node devices are in communication connection with the main node device and are used for receiving and sending the monitoring data. The comprehensive monitoring system for the diseases, the weeds and the pests of the organic rice is characterized in that the comprehensive monitoring systems are distributed at key positions of an organic rice field and used for collecting information of the diseases, the weeds and the pests, and the comprehensive monitoring system further comprises a data collection module, a data transmission module, a central processing module, a prevention and control measure execution module and a user terminal module. An artificial intelligence algorithm is adopted to identify the rice field image, the types and severity of diseases, pests and weeds can be quickly and accurately judged, and the prevention and treatment effect is improved; the system adopts environment-friendly prevention and control measures such as biological prevention and control and mechanical weeding, so that pollution to the environment is reduced, and the development requirements of organic agriculture are met.

Description

Technical Field

[0001] The invention relates to the technical field of agriculture, and in particular to an integrated monitoring system for organic rice pests and diseases. Background Art

[0002] As people pay more and more attention to food safety and environmental protection, the planting area of ​​organic rice is gradually expanding. However, organic rice is easily affected by pests and diseases during its growth. Traditional prevention and control methods are often ineffective and may cause environmental pollution. Therefore, an efficient and environmentally friendly integrated monitoring system for organic rice pests and diseases is needed to achieve timely monitoring and precise prevention and control of pests and diseases. Summary of the invention

[0003] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an integrated monitoring system for organic rice pests and diseases.

[0004] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: an organic rice disease, insect, and weed integrated monitoring system, comprising a host computer, a main node device, and a plurality of sub-node devices, wherein the main node device is communicatively connected to the host computer for receiving and sending monitoring data, and the plurality of sub-node devices are communicatively connected to the main node device and are distributed at various key positions of the organic rice field for collecting disease, insect, and weed information, and further comprising a data acquisition module, a data transmission module, a central processing module, a control measure execution module, and a user terminal module.

[0005] Preferably, the data acquisition module includes:

[0006] Multiple sensors installed in rice fields are used to collect real-time environmental parameters such as soil moisture, temperature, light intensity, carbon dioxide concentration, and information on the growth status of rice;

[0007] High-definition cameras are used to capture images of rice fields in order to identify the occurrence of pests, diseases and weeds.

[0008] Preferably, the data transmission module:

[0009] Transmitting the data collected by the data acquisition module to the central processing module;

[0010] Wireless communication technologies such as Wi-Fi, Bluetooth, ZigBee, etc. can be used to ensure the stability and timeliness of data transmission.

[0011] Preferably, the central processing module:

[0012] Receive data transmitted by the data acquisition module and analyze and process it.

[0013] Artificial intelligence algorithms are used to identify rice field images to determine whether there are pests, diseases, or weeds, and to determine their type and severity.

[0014] Formulate corresponding prevention and control measures based on environmental parameters and pest and disease conditions.

[0015] Preferably, the prevention and control measures execution module:

[0016] According to the prevention and control measures formulated by the central processing module, the prevention and control of pests and diseases is carried out.

[0017] For example, when pests and diseases are found, biological control equipment can be activated to release natural enemy insects; when weeds are found, mechanical weeding or manual weeding can be used.

[0018] Preferably, the user terminal module 5:

[0019] Farmers can connect to the system through mobile phones, tablets and other devices to view the environmental parameters of the rice fields, the pest and weed situation, and the implementation of prevention and control measures in real time;

[0020] Farmers can also remotely control the system through the user terminal module and adjust prevention and control measures.

[0021] Compared with the prior art, the advantages and positive effects of the present invention are:

[0022] 1. The organic rice pest and weed integrated monitoring system of the present invention can monitor the environmental parameters and pest and weed conditions of the rice fields in real time, and provide farmers with accurate information so that they can take preventive measures in time.

[0023] 2. Using artificial intelligence algorithms to identify rice field images can quickly and accurately determine the type and severity of pests and diseases, thereby improving prevention and control effects.

[0024] 3. The system adopts environmentally friendly prevention and control measures such as biological control and mechanical weeding, which reduces pollution to the environment and meets the development requirements of organic agriculture.

[0025] 4. The user terminal module allows farmers to understand the situation of rice fields anytime and anywhere, realize remote control, and improve management efficiency. DETAILED DESCRIPTION

[0026] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described below in conjunction with embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0027] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways than those described herein. Therefore, the present invention is not limited to the specific embodiments of the following disclosure.

[0028] The raw materials in the embodiments can be obtained commercially;

[0029] Unless otherwise specified, the reagents, methods and equipment used in the present invention are conventional reagents, methods and equipment in the present technical field.

[0030] Example 1

[0031] An organic rice pest and disease integrated monitoring system comprises a data acquisition module, a data transmission module, a central processing module, a prevention and control measure execution module and a user terminal module.

[0032] The data acquisition module includes multiple sensors and high-definition cameras installed in the rice fields. The sensors are used to collect real-time environmental parameters such as soil moisture, temperature, light intensity, carbon dioxide concentration, and rice growth status information. The high-definition camera is used to capture images of the rice fields in order to identify the occurrence of pests and diseases.

[0033] The data transmission module transmits the data collected by the data acquisition module to the central processing module. The data transmission module can use wireless communication technology, such as Wi-Fi, Bluetooth, ZigBee, etc., to ensure the stability and timeliness of data transmission.

[0034] The central processing module receives the data transmitted by the data acquisition module and performs analysis and processing. The central processing module uses artificial intelligence algorithms to identify rice field images, determine whether there are pests and diseases, and determine their types and severity. According to environmental parameters and pest and disease conditions, the central processing module formulates corresponding prevention and control measures.

[0035] The prevention and control measures execution module carries out the prevention and control of diseases, insects and weeds according to the prevention and control measures formulated by the central processing module. For example, when diseases and insects are found, biological control equipment can be activated to release natural enemy insects; when weeds are found, mechanical weeding or manual weeding can be used.

[0036] User terminal module Farmers can connect to the system through mobile phones, tablet computers and other devices to view the environmental parameters of the rice fields, the pest and weed situation, and the implementation of prevention and control measures in real time. Farmers can also remotely control the system through the user terminal module 5 and adjust the prevention and control measures.

[0037] Example 2

[0038] The system includes a host computer, a master node device and multiple sub-node devices. The master node device is connected to the host computer for receiving and sending monitoring data. Multiple sub-node devices are connected to the master node device for communication and are distributed in key locations of organic rice fields to collect pest and weed information.

[0039] Each sub-node device includes a sub-node controller, a wireless communication module, a solar power supply module, a sensor group, an alarm module and an execution module. The sub-node controller is the core and is responsible for coordinating the work of each module. The wireless communication module is used to communicate with the main node device and transmit monitoring data. The solar power supply module provides green and sustainable energy for the entire sub-node device. The sensor group includes sensors for monitoring environmental parameters such as temperature, humidity, and light, as well as sensors for detecting the characteristics of pests and diseases, such as infrared sensors and image sensors. The alarm module issues an alarm when pests and diseases are detected, reminding managers to take timely measures. The execution module is used to perform weeding, insecticide and other operations, such as spraying organic pesticides or releasing natural enemies;

[0040] As the control center of the system, the host computer is responsible for receiving and processing the monitoring data from each sub-node device, and performing data analysis, processing and storage. At the same time, the host computer also provides a user-friendly interface for managers to view monitoring data, set monitoring parameters and receive alarm information.

[0041] Example 3

[0042] System architecture:

[0043] Perception layer: includes various sensors arranged in rice fields, such as image sensors (used to capture images of pests and diseases and weeds), meteorological sensors (monitoring environmental factors such as temperature, humidity, wind speed, etc.), etc.

[0044] Transmission layer: responsible for transmitting the data collected by the perception layer to the data processing center, which can be transmitted by wired or wireless means.

[0045] Processing and decision-making layer: including data servers, AI analysis models, etc., responsible for processing, analyzing and storing the collected data, and generating early warning information and prevention and control recommendations based on the analysis results.

[0046] Application layer: Terminal applications for farmers that can display real-time monitoring images, early warning information, prevention and control suggestions, etc.

[0047] Features:

[0048] Real-time monitoring: The system can monitor the condition of rice fields 24 hours a day and detect pests, diseases and weeds in a timely manner.

[0049] Intelligent early warning: Through AI analysis models, monitoring data is deeply mined to achieve early warning.

[0050] Accurate identification: Use image recognition technology to accurately distinguish different types of pests and diseases and weeds to reduce false alarms.

[0051] Data management: The system provides historical data query, statistical analysis and other functions to help farmers better understand the conditions of rice fields.

[0052] User-friendly: Simple and intuitive operation interface makes it easy for farmers to get started quickly.

[0053] Implementation steps:

[0054] Deploy sensors: Arrange various sensors in the rice fields to ensure comprehensive coverage without affecting rice growth.

[0055] Establish a transmission network: Select a suitable transmission method based on the terrain and area of ​​the rice fields to ensure stable and reliable data transmission.

[0056] Build a data processing center: configure high-performance servers and storage devices, and deploy AI analysis models.

[0057] Develop the application layer: Design user-friendly terminal applications to achieve data visualization and interactive operations.

[0058] System testing and optimization: Test in the actual environment and continuously optimize system performance based on feedback

[0059] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. An organic rice pest and weed integrated monitoring system, characterized in that: It includes a host computer, a main node device and multiple sub-node devices. The main node device is connected to the host computer for receiving and sending monitoring data. Multiple sub-node devices are connected to the main node device for communication and are distributed in various key positions of the organic rice field for collecting information on pests and diseases. It also includes a data acquisition module, a data transmission module, a central processing module, a prevention and control measures execution module and a user terminal module.

2. The integrated monitoring system for organic rice pests and diseases according to claim 1, characterized in that: The data acquisition module comprises: Multiple sensors installed in rice fields are used to collect real-time environmental parameters such as soil moisture, temperature, light intensity, carbon dioxide concentration, and information on the growth status of rice; High-definition cameras are used to capture images of rice fields in order to identify the occurrence of pests, diseases and weeds.

3. The integrated monitoring system for organic rice pests and diseases according to claim 1, characterized in that: The data transmission module: Transmitting the data collected by the data acquisition module to the central processing module; Wireless communication technologies such as Wi-Fi, Bluetooth, and ZigBee are used to ensure the stability and timeliness of data transmission.

4. The organic rice pest and weed integrated monitoring system according to claim 1, characterized in that: The central processing module: Receive data transmitted by the data acquisition module and analyze and process it; Use artificial intelligence algorithms to identify rice field images to determine whether there are pests and diseases, and determine their types and severity; Formulate corresponding prevention and control measures based on environmental parameters and pest and disease conditions.

5. The integrated monitoring system for organic rice pests and diseases according to claim 1, characterized in that: The prevention and control measures execution module: Carry out pest and disease control according to the control measures formulated by the central processing module; When pests and diseases are found, biological control equipment can be activated to release natural enemy insects; when weeds are found, mechanical weeding or manual weeding can be used.

6. The integrated monitoring system for organic rice pests and diseases according to claim 1, characterized in that: The user terminal module: Farmers can connect to the system through mobile phones, tablets and other devices to view the environmental parameters of the rice fields, the pest and weed situation, and the implementation of prevention and control measures in real time; Farmers can also remotely control the system through the user terminal module and adjust prevention and control measures.