Remote monitoring and intelligent prevention and control system and method for rice diseases and insect pests

Abstract

The invention provides a remote monitoring and intelligent prevention and control system and method for rice diseases and insect pests. The remote monitoring and intelligent prevention and control system for rice diseases and insect pests comprises a monitoring module used for collecting environment data, health data and image data of rice and monitoring the growth environment of the rice in real time; the data transmission module is used for transmitting the data acquired by the monitoring module to the data processing module; and the data processing module is used for processing the data acquired by the monitoring module. According to the remote monitoring and intelligent prevention and control system and method for the rice diseases and insect pests, accurate, efficient and green prevention and control of the rice diseases and insect pests are achieved through the mode of combining remote monitoring and intelligent prevention and control, peasant households or technicians do not need to frequently go to the field edge for manual patrol through the remote monitoring function, the labor cost is greatly saved, and the working efficiency is improved. Due to automatic operation of the intelligent prevention and control equipment, the tedious degree and the labor intensity of manual operation are reduced, and the efficiency of prevention and control work is improved.

Description

Technical Field

[0001] The present invention relates to the field of agricultural pest control, and in particular to a rice pest remote monitoring and intelligent control system and method. Background Art

[0002] Rice refers to the seeds without removing the husk. Botanically, it belongs to the subgenus Oryza in the subgenus Oryza of the genus Oryza in the family Gramineae. It is an annual plant 50-130 cm tall. The main stem forks into several tillers at the bottom, and cone-shaped flower clusters grow at the ends of the tillers. Each flower cluster can grow 50-500 spikelets, and each spikelet can produce a fruit, i.e., a kernel. The fruit is not completely separated from the plant structure of the flower cluster after harvest.

[0003] During the rice planting process, pests and diseases seriously affect the yield and quality of rice. Traditional pest and disease monitoring mainly relies on manual field inspections, which not only consumes a lot of manpower and material resources, but is also inefficient and difficult to detect early signs of pests and diseases in a timely manner. At the same time, prevention and control measures often lack accuracy and timeliness, and often use large-scale unified pesticide application, which not only increases costs, but may also cause environmental pollution and excessive pesticide residues, making it difficult to meet the needs of modern agricultural precision and green production.

[0004] Therefore, it is necessary to provide a remote monitoring and intelligent prevention and control system and method for rice diseases and insect pests to solve the above technical problems. Summary of the invention

[0005] The present invention provides a rice disease and insect pest remote monitoring and intelligent prevention and control system and method, which solves the problems in the background technology.

[0006] In order to solve the above technical problems, the present invention provides a remote monitoring and intelligent prevention and control system for rice diseases and insect pests, comprising:

[0007] Monitoring module: used to collect environmental data, health data and image data of rice, and conduct real-time monitoring of the rice growth environment;

[0008] Data transmission module: used to transmit the data collected by the monitoring module to the data processing module;

[0009] Data processing module: used to process the data collected by the monitoring module and transmit it to the data analysis module for data analysis;

[0010] Data analysis module: Use big data analysis technology and artificial intelligence algorithms to conduct in-depth mining of pest and disease data, and predict the occurrence time, extent and epidemic trend of pests and diseases by analyzing the relationship between historical data and real-time monitoring data;

[0011] Database module: store and organize the massive amount of pest and disease data and meteorological data collected, and establish a database;

[0012] Judgment module: judge the analysis results of the data analysis module and determine the prevention and control measures;

[0013] Execution module: executes and implements the prevention and control measures selected by the judgment module;

[0014] Prevention and control equipment module: equipment used to implement prevention and control measures.

[0015] Preferably, the output end of the monitoring module is connected to the input end of the data transmission module, the output end of the data transmission module is connected to the input end of the data processing module, the output end of the data processing module is connected to the input end of the data analysis module, the output end of the data analysis module is connected to the input end of the database module, the output end of the data analysis module is connected to the input end of the judgment module, the output end of the judgment module is connected to the input end of the execution module, and the output end of the execution module is connected to the input end of the prevention and control equipment module.

[0016] Preferably, the data transmission module adopts one of 4G network, 5G network or Bluetooth.

[0017] Preferably, the monitoring module includes an intelligent insect alarm light, a spore capture device, a temperature monitoring unit, a humidity monitoring unit, a light monitoring unit and a precipitation monitoring unit.

[0018] Preferably, the intelligent insect alarm light traps rice pests, uses a camera or sensor to automatically identify the type and number of pests, and transmits the data to a data processing module in real time; the spore capture instrument can collect pathogen spores in the air, analyze the type and concentration of the pathogens, and warn of the risk of disease occurrence in advance.

[0019] Preferably, the temperature monitoring unit is used to monitor the temperature around the rice field; the humidity monitoring unit is used to monitor the humidity in the rice field; the light detection unit is used to monitor the light intensity around the rice field; and the precipitation monitoring unit is used to monitor the precipitation in the rice field.

[0020] Preferably, the control equipment module includes pest trapping equipment, intelligent spray equipment and pest interception equipment.

[0021] Preferably, the pest trapping equipment is used to trap pests in rice fields; the intelligent spraying equipment is used to accurately spray pesticides on rice fields to reduce diseases and insect pests; and the pest intercepting equipment is used to prevent pests from entering the fields.

[0022] Preferably, the pest trapping device is a sex trap or a food trap, and its working state is remotely controlled; the intelligent spraying device is a drone or an automatic spraying robot; the pest intercepting device is a covering insect-proof net or a sunshade net, and its working state is remotely controlled to prevent pests from entering the field.

[0023] A method for remote monitoring and intelligent prevention and control of rice pests and diseases, comprising the following steps:

[0024] S1, real-time monitoring of rice is performed through the monitoring module, and environmental data, health data and image data of the rice are collected, and then the collected data is transmitted to the data processing module for processing through the data transmission module;

[0025] S2, the data processing module transmits the data to the data analysis module for data analysis, conducts in-depth mining of pest and disease data, and predicts the occurrence time, degree and epidemic trend of pest and disease by analyzing the correlation between historical data and real-time monitoring data;

[0026] S3. Then the judgment module judges the analysis results of the data analysis module, and after determining the prevention and control measures, the execution module responds to the prevention and control equipment module and executes the corresponding prevention and control measures.

[0027] Compared with the related art, the rice pest remote monitoring and intelligent prevention and control system and method provided by the present invention has the following beneficial effects:

[0028] The present invention provides a remote monitoring and intelligent prevention and control system and method for rice diseases and insect pests. The present invention realizes accurate, efficient and green prevention and control of rice diseases and insect pests by combining remote monitoring with intelligent prevention and control. The remote monitoring function does not require farmers or technicians to frequently conduct manual inspections in the fields, which greatly saves labor costs. The automated operation of the intelligent prevention and control equipment also reduces the tediousness and labor intensity of manual operation, improves the efficiency of prevention and control work, has a variety of treatment measures, and can be implemented according to the specific conditions of rice, significantly reduces excessive use of pesticides and environmental pollution, improves rice yield and quality, reduces agricultural production losses, and has significant economic benefits, social benefits and ecological benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 A schematic structural diagram of a preferred embodiment of the rice pest and disease remote monitoring and intelligent prevention and control system provided by the present invention;

[0030] Figure 2 for Figure 1 The structural block diagram of the monitoring module shown;

[0031] Figure 3 for Figure 1The structural block diagram of the prevention and control equipment module shown; DETAILED DESCRIPTION

[0032] The present invention will be further described below in conjunction with the accompanying drawings and implementation modes.

[0033] Please refer to Figure 1 , Figure 2 , Figure 3 ,in, Figure 1 A schematic structural diagram of a preferred embodiment of the rice pest and disease remote monitoring and intelligent prevention and control system provided by the present invention; Figure 2 for Figure 1 The structural block diagram of the monitoring module shown; Figure 3 for Figure 1 The structure block diagram of the control equipment module is shown in Figure 1. The rice pest remote monitoring and intelligent control system includes:

[0034] Monitoring module: used to collect environmental data, health data and image data of rice, and conduct real-time monitoring of the rice growth environment;

[0035] Data transmission module: used to transmit the data collected by the monitoring module to the data processing module;

[0036] Data processing module: used to process the data collected by the monitoring module and transmit it to the data analysis module for data analysis;

[0037] Data analysis module: Use big data analysis technology and artificial intelligence algorithms to conduct in-depth mining of pest and disease data, and predict the occurrence time, extent and epidemic trend of pests and diseases by analyzing the relationship between historical data and real-time monitoring data;

[0038] Database module: store and organize the massive amount of pest and disease data and meteorological data collected, and establish a database;

[0039] Judgment module: judge the analysis results of the data analysis module and determine the prevention and control measures;

[0040] Execution module: executes and implements the prevention and control measures selected by the judgment module;

[0041] Prevention and control equipment module: equipment used to implement prevention and control measures.

[0042] The output end of the monitoring module is connected to the input end of the data transmission module, the output end of the data transmission module is connected to the input end of the data processing module, the output end of the data processing module is connected to the input end of the data analysis module, the output end of the data analysis module is connected to the input end of the database module, the output end of the data analysis module is connected to the input end of the judgment module, the output end of the judgment module is connected to the input end of the execution module, and the output end of the execution module is connected to the input end of the prevention and control equipment module.

[0043] The data transmission module adopts one of 4G network, 5G network or Bluetooth.

[0044] The monitoring module includes an intelligent insect alarm light, a spore capture device, a temperature monitoring unit, a humidity monitoring unit, a light monitoring unit and a precipitation monitoring unit.

[0045] The intelligent insect alarm light traps rice pests, uses a camera or sensor to automatically identify the type and number of pests, and transmits the data to a data processing module in real time; the spore capture device can collect pathogen spores in the air, analyze the type and concentration of the pathogens, and provide early warning of the risk of disease occurrence.

[0046] The temperature monitoring unit is used to monitor the temperature around the rice field; the humidity monitoring unit is used to monitor the humidity in the rice field; the light detection unit is used to monitor the light intensity around the rice field; and the precipitation monitoring unit is used to monitor the precipitation in the rice field.

[0047] By placing a variety of sensors in the rice fields, including but not limited to high-definition cameras, meteorological sensors, pest traps (with built-in counting sensors), humidity sensors, temperature sensors, and pathogen spore capture devices, data on the rice growth environment and information related to pests and diseases are collected in all directions and in real time. The camera is used to take images of rice plants, and image recognition technology is used to analyze characteristics such as leaf color and morphology to determine the occurrence of pests and diseases; meteorological sensors collect meteorological data such as temperature, humidity, light, and wind speed, because these factors affect the breeding and spread of pests and diseases; pest traps capture pests and count their number, and predict the risk of pest outbreaks based on their types and number trends; humidity and temperature sensors monitor the field microclimate, and pathogen spore capture devices detect the number of pathogen spores to provide a basis for disease warning.

[0048] The spore capture device can collect pathogen spores in the air, analyze the type and concentration of pathogens, and warn of the risk of disease occurrence in advance. For example, the spores of pathogens such as rice blast and sheath blight can be detected in time at the early stage of spread, so that measures can be taken to prevent the spread of diseases.

[0049] In the rice-growing area, various sensors and prevention and control equipment are installed according to certain layout rules. The sensor installation height, angle and position should be optimized according to its monitoring object and range to ensure the accuracy and representativeness of the collected data. Initialize the equipment, calibrate the sensor parameters, ensure normal data transmission, and establish a stable connection with the remote monitoring platform. During the debugging stage, simulate different pest and disease occurrence scenarios and meteorological conditions, test the system's monitoring accuracy and prevention and control response capabilities, and make timely adjustments and optimizations to any problems that arise.

[0050] The control equipment module includes pest trapping equipment, intelligent spray equipment and pest interception equipment.

[0051] The pest trapping equipment is used to trap pests in rice fields; the intelligent spraying equipment is used to accurately spray pesticides on rice fields to reduce diseases and insect pests; and the pest intercepting equipment is used to prevent pests from entering the fields.

[0052] The pest trapping device is a sex trap or a food trap, and its working state is remotely controlled; the intelligent spraying device is a drone or an automatic spraying robot; the pest intercepting device is a covering insect-proof net or a sunshade net, and its working state is remotely controlled to prevent pests from entering the field.

[0053] Pest trapping equipment can be equipped with a variety of pest trapping devices such as sex traps and food traps, and their working status can be remotely controlled. For example, sex pheromones can be released for specific pests to attract and capture them, effectively reducing the number of pests that reproduce and achieving green prevention and control.

[0054] According to pest and disease monitoring data and prevention and control instructions, the intelligent spray equipment automatically controls the opening and closing of the spray equipment, as well as the spray volume, spray range and other parameters. For example, when it is detected that rice planthoppers have reached a certain density, the intelligent spray system can be started at the appropriate time (such as early morning or evening, when pests are active frequently and the efficacy of the pesticide is better), and the pesticide can be sprayed on the rice field accurately, improving the prevention and control effect and reducing pesticide waste and environmental pollution.

[0055] Insect-proof nets can prevent pests from entering the fields. Shade nets are mainly used to adjust light and temperature, and can also prevent pests from laying eggs to a certain extent. They can not only prevent rice from being directly exposed to strong light, but also reduce the number of pests laying eggs on rice.

[0056] After the system is officially put into operation, the sensors are cleaned and calibrated regularly, and the operating status of the equipment is checked to ensure the continuity and reliability of the data. The remote monitoring platform arranges dedicated personnel to monitor and analyze data and handle abnormal data and early warning information in a timely manner. Maintenance of prevention and control equipment is carried out, such as battery inspection of drones, nozzle cleaning of plant protection robots, and lamp replacement of insecticidal lamps, to ensure that the equipment can operate normally when prevention and control is needed. According to the rice growth cycle and the occurrence of pests and diseases, the system's prediction model and prevention and control strategies are updated in a timely manner to continuously improve the system's intelligence level and prevention and control effects.

[0057] A method for remote monitoring and intelligent prevention and control of rice pests and diseases, comprising the following steps:

[0058] S1, real-time monitoring of rice is performed through the monitoring module, and environmental data, health data and image data of the rice are collected, and then the collected data is transmitted to the data processing module for processing through the data transmission module;

[0059] S2, the data processing module transmits the data to the data analysis module for data analysis, conducts in-depth mining of pest and disease data, and predicts the occurrence time, degree and epidemic trend of pest and disease by analyzing the correlation between historical data and real-time monitoring data;

[0060] S3. Then the judgment module judges the analysis results of the data analysis module, and after determining the prevention and control measures, the execution module responds to the prevention and control equipment module and executes the corresponding prevention and control measures.

[0061] The working principle of the rice pest remote monitoring and intelligent prevention and control system and method provided by the present invention is as follows:

[0062] The monitoring module is used to monitor the rice in real time, collect the environmental data, health data and image data of the rice, and then transmit the collected data to the data processing module for processing through the data transmission module; the data processing module transmits the data to the data analysis module for data analysis, conducts in-depth mining of the pest and disease data, and predicts the occurrence time, degree and epidemic trend of pests and diseases by analyzing the correlation between historical data and real-time monitoring data; then the judgment module judges the analysis results of the data analysis module, and after determining the prevention and control measures, the execution module responds to the prevention and control equipment module and executes the corresponding prevention and control measures.

[0063] Compared with the related art, the rice pest remote monitoring and intelligent prevention and control system and method provided by the present invention has the following beneficial effects:

[0064] The present invention realizes accurate, efficient and green prevention and control of rice diseases and insect pests by combining remote monitoring with intelligent prevention and control. The remote monitoring function does not require farmers or technicians to frequently conduct manual inspections in the fields, which greatly saves labor costs. The automated operation of the intelligent prevention and control equipment also reduces the tediousness and labor intensity of manual operation, improves the efficiency of prevention and control work, has a variety of treatment measures, and can be implemented according to the specific conditions of rice, significantly reduces excessive use of pesticides and environmental pollution, improves rice yield and quality, reduces agricultural production losses, and has significant economic, social and ecological benefits.

[0065] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A remote monitoring and intelligent prevention and control system for rice pests and diseases, characterized in that: include: Monitoring module: used to collect environmental data, health data and image data of rice, and conduct real-time monitoring of the rice growth environment; Data transmission module: used to transmit the data collected by the monitoring module to the data processing module; Data processing module: used to process the data collected by the monitoring module and transmit it to the data analysis module for data analysis; Data analysis module: Use big data analysis technology and artificial intelligence algorithms to conduct in-depth mining of pest and disease data, and predict the occurrence time, extent and epidemic trend of pests and diseases by analyzing the relationship between historical data and real-time monitoring data; Database module: store and organize the massive amount of pest and disease data and meteorological data collected, and establish a database; Judgment module: judge the analysis results of the data analysis module and determine the prevention and control measures; Execution module: executes and implements the prevention and control measures selected by the judgment module; Prevention and control equipment module: equipment used to implement prevention and control measures.

2. The rice pest remote monitoring and intelligent control system according to claim 1, characterized in that: The output end of the monitoring module is connected to the input end of the data transmission module, the output end of the data transmission module is connected to the input end of the data processing module, the output end of the data processing module is connected to the input end of the data analysis module, the output end of the data analysis module is connected to the input end of the database module, the output end of the data analysis module is connected to the input end of the judgment module, the output end of the judgment module is connected to the input end of the execution module, and the output end of the execution module is connected to the input end of the prevention and control equipment module.

3. The rice pest remote monitoring and intelligent control system according to claim 1, characterized in that: The data transmission module adopts one of 4G network, 5G network or Bluetooth.

4. The rice pest remote monitoring and intelligent control system according to claim 1, characterized in that: The monitoring module includes an intelligent insect alarm light, a spore capture device, a temperature monitoring unit, a humidity monitoring unit, a light monitoring unit and a precipitation monitoring unit.

5. The rice pest remote monitoring and intelligent control system according to claim 4, characterized in that: The intelligent insect alarm light traps rice pests, automatically identifies the types and quantities of pests using cameras or sensors, and transmits the data to a data processing module in real time; The spore capture device can collect pathogen spores in the air, analyze the types and concentrations of the pathogens, and warn of the risk of disease occurrence in advance.

6. The rice pest remote monitoring and intelligent control system according to claim 4, characterized in that: The temperature monitoring unit is used to monitor the temperature around the rice field; the humidity monitoring unit is used to monitor the humidity in the rice field; the light detection unit is used to monitor the light intensity around the rice field; and the precipitation monitoring unit is used to monitor the precipitation in the rice field.

7. The rice pest remote monitoring and intelligent control system according to claim 1, characterized in that: The control equipment module includes pest trapping equipment, intelligent spray equipment and pest interception equipment.

8. The rice pest remote monitoring and intelligent control system according to claim 7, characterized in that: The pest trapping equipment is used to trap pests in rice fields; the intelligent spraying equipment is used to accurately spray pesticides on rice fields to reduce diseases and insect pests; and the pest intercepting equipment is used to prevent pests from entering the fields.

9. The rice pest remote monitoring and intelligent control system and method according to claim 1, characterized in that: The pest trapping device is a sex trap or a food trap, and its working state is remotely controlled; the intelligent spraying device is a drone or an automatic spraying robot; the pest intercepting device is a covering insect-proof net or a sunshade net, and its working state is remotely controlled to prevent pests from entering the field.

10. A method for remote monitoring and intelligent prevention and control of rice pests and diseases, characterized in that: The following steps are involved: S1, real-time monitoring of rice is performed through the monitoring module, and environmental data, health data and image data of the rice are collected, and then the collected data is transmitted to the data processing module for processing through the data transmission module; S2, the data processing module transmits the data to the data analysis module for data analysis, conducts in-depth mining of pest and disease data, and predicts the occurrence time, degree and epidemic trend of pest and disease by analyzing the correlation between historical data and real-time monitoring data; S3. Then the judgment module judges the analysis results of the data analysis module, and after determining the prevention and control measures, the execution module responds to the prevention and control equipment module and executes the corresponding prevention and control measures.

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