Citrus insect pest situation intelligent monitoring system based on Beidou positioning and multi-modal data fusion

Abstract

The invention discloses a Beidou positioning and multi-modal data fusion-based citrus insect pest situation intelligent monitoring system, which belongs to the field of citrus planting and comprises an environment information acquisition unit, a data unified management unit, a communication unit, an insect pest early warning and prevention unit and an environment regulation and control unit, the environment information acquisition unit is used for acquiring temperature and humidity, illumination intensity, natural rainfall, wind speed and wind direction, soil acidity and alkalinity, nitrogen phosphorus and potassium content, planting environment and pest picture information of citrus planting; through setting a data unified management unit and a communication unit, real-time monitoring, early warning and prevention and control of insect pests in a citrus planting area can be realized by using a Beidou technology, a 5G Internet of Things technology, an image analysis processing technology, a big data technology, an AI technology, a sensor technology and a modern plant protection technology; and the system provides accurate pest control suggestions for farmers by collecting and analyzing pest situation data of the citrus planting area, so that the yield and quality of citrus are improved.

Description

Technical Field

[0001] This invention belongs to the field of citrus planting technology, specifically involving an intelligent monitoring system for citrus pests based on BeiDou positioning and multimodal data fusion. Background Technology

[0002] Citrus is a plant belonging to the genus Citrus in the family Rutaceae. It usually refers to a general term for mandarins, oranges, tangerines, kumquats, pomelos, and trifoliate oranges. Citrus is a small tree with many branches that spread or droop slightly. It has few thorns. Citrus can be eaten directly or processed into various products, such as citrus juice and citrus peel. Therefore, citrus cultivation is very common and widespread nowadays.

[0003] During the citrus cultivation process, since the growth of citrus is mainly concentrated in summer, this stage is the peak period for diseases and pests. There are many harmful organisms affecting the growth of citrus, and these diseases and pests mainly involve the branches, buds, fruits, young fruits, tender shoots, leaves, late summer shoots, autumn shoots, and roots. The occurrence of these diseases and pests can lead to citrus growth disorders and reduced yields, and even the withering and death of fruit trees, causing significant economic losses. Therefore, timely and effective prevention and control of citrus diseases and pests is very important.

[0004] Currently, the monitoring and control techniques for pests and diseases in citrus cultivation are still traditional and inefficient. Pest and disease control mainly relies on a combination of light (sexual pheromone) trapping and manual field surveys to report pest occurrence. This method requires daily manual recording, which is tedious and makes it difficult to obtain real-time information on pest population dynamics in a wide area. This affects the accuracy and timeliness of pest occurrence monitoring and reporting. Furthermore, it is impossible to establish dynamic monitoring and reporting in a wide area for early prevention or joint prevention and control, which leads to excessive pesticide use, wasting a lot of pesticide costs and polluting the environment. At the same time, the lack of skilled agricultural technicians at the grassroots level, their aging, and their unreasonable knowledge structure make it difficult to provide accurate and real-time pest monitoring, forecasting, and control techniques.

[0005] Furthermore, for a long time, the prevention and control of diseases and pests in citrus cultivation has mainly relied on chemical pesticides. There is a prominent phenomenon of fruit farmers arbitrarily increasing the number of times and the amount of pesticides used. This not only leads to the continuous enhancement of pesticide resistance in diseases and pests, but also kills natural enemies, causing problems such as excessive residues and environmental pollution. To address this, we have proposed an intelligent monitoring system for citrus pests based on BeiDou positioning and multimodal data fusion. Summary of the Invention

[0006] The purpose of this invention is to provide an intelligent monitoring system for citrus pests based on BeiDou positioning and multimodal data fusion, so as to solve the problems mentioned in the background art.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a citrus pest intelligent monitoring system based on BeiDou positioning and multimodal data fusion, comprising an environmental information acquisition unit, a unified data management unit, a communication unit, a pest early warning and control unit, and an environmental control unit. The environmental information acquisition unit is used to collect information on temperature and humidity, light intensity, natural rainfall, wind speed and direction, soil pH and nitrogen, phosphorus and potassium content, as well as planting environment and pest images for citrus cultivation. The unified data management unit is used to perform big data intelligent analysis and processing on the collected information data. The communication unit is used for diversified data transmission and precise positioning. The pest early warning and control unit is used to provide timely alarms and control for pests in citrus cultivation. The environmental control unit is used to regulate the temperature, humidity, and soil environment of citrus cultivation.

[0008] In one preferred embodiment, the environmental information acquisition unit includes a temperature and humidity acquisition module, a light intensity acquisition module, a rainfall acquisition module, a wind speed and direction acquisition module, a soil pH acquisition module, a soil nitrogen, phosphorus and potassium acquisition module, an image acquisition module, and a photoelectric detection module.

[0009] In a preferred embodiment, the temperature and humidity acquisition module is used to collect temperature and humidity data of the citrus planting environment, and the temperature and humidity acquisition module is specifically a temperature and humidity sensor; the light acquisition module is used to collect light intensity data of the citrus planting environment, and the light acquisition module is specifically a light sensor; the rainfall acquisition module is used to collect natural rainfall data of the citrus planting environment, and the rainfall acquisition module is specifically a rainfall sensor; and the wind speed and direction acquisition module is used to collect wind speed and direction data of the citrus planting environment, and the wind speed and direction acquisition module is specifically a wind speed and direction sensor.

[0010] In a preferred embodiment, the soil pH acquisition module is used to collect pH data in the citrus planting soil, and the soil pH acquisition module is specifically a pH sensor. The soil nitrogen, phosphorus and potassium acquisition module is used to collect nitrogen, phosphorus and potassium data in the citrus planting soil, and the soil nitrogen, phosphorus and potassium acquisition module is specifically a nitrogen, phosphorus and potassium sensor.

[0011] In a preferred embodiment, the image acquisition module is used to acquire images of the citrus planting environment and pests, and the image acquisition module is specifically a far-infrared camera. The photoelectric detection module is used to detect the photoelectric status of the solar insecticidal lamp, and the photoelectric detection module is specifically a photoelectric sensor.

[0012] In a preferred embodiment, the unified data management unit includes a data receiving module, a data analysis and processing module, a data storage module, a data transmission module, and an instruction transmission module. The data receiving module and the data analysis and processing module are connected by signals, and the data analysis and processing module is connected by signals to the data storage module, the data transmission module, and the instruction transmission module, respectively.

[0013] In one preferred embodiment, the communication unit includes a Zigbee communication module, a LoRa communication module, a 5G / 4G communication module, and a BeiDou communication module.

[0014] In one preferred embodiment, the 5G / 4G communication module is used to connect the backend network and the mobile terminal, and the Beidou communication module is used for high-precision positioning and data transmission.

[0015] In a preferred embodiment, the pest early warning and control unit includes a light-based insecticidal module and a chemical insecticidal module. The light-based insecticidal module uses light to kill pests, and specifically, the light-based insecticidal module is a solar-powered insecticidal lamp. The chemical insecticidal module is used to spray insecticides.

[0016] In a preferred embodiment, the environmental control unit is used to regulate the temperature, humidity and soil environment of citrus cultivation, and the environmental control unit can specifically use a spraying method for regulation.

[0017] Compared with the prior art, the beneficial effects of the present invention are:

[0018] This intelligent citrus pest monitoring system, based on BeiDou positioning and multimodal data fusion, can collect real-time information on citrus planting conditions, including temperature and humidity, light intensity, natural rainfall, wind speed and direction, soil pH and nitrogen, phosphorus and potassium content, as well as images of the planting environment and pests, by setting up an environmental information collection unit. This eliminates the need for daily manual inspections and recording in the orchard, making citrus planting work simpler, more convenient, and saving time and labor. At the same time, it can obtain real-time information on citrus growth and pest population dynamics in a wide area, thus demonstrating the accuracy and real-time nature of citrus planting data.

[0019] This intelligent monitoring system for citrus pests, based on BeiDou positioning and multimodal data fusion, is designed with environmental information collection units and pest early warning and control units. It enables targeted integrated pest management using solar-powered insecticidal lamps and drones equipped with spraying devices. This avoids the problem of pesticide contamination caused by the difficulty in accurately controlling the spraying range or dosage during traditional manual spraying. This not only saves labor but also allows for precise spraying, reducing pesticide usage and pollution, thus achieving the benefits of scientific, green, cost-effective, and quality-enhancing pesticide use.

[0020] This intelligent citrus pest monitoring system, based on BeiDou positioning and multimodal data fusion, utilizes BeiDou technology, 5G IoT technology, image analysis and processing technology, big data technology, AI technology, sensor technology, and modern plant protection technology to integrate and summarize various data collected by the environmental information acquisition unit. These data include citrus planting temperature and humidity, light intensity, natural rainfall, wind speed and direction, soil pH and nitrogen, phosphorus and potassium content, as well as planting environment and pest images. This enables real-time monitoring, early warning, and control of pests in citrus planting areas. Furthermore, by collecting and analyzing pest data from citrus planting areas, the system provides farmers with accurate pest control suggestions, thereby improving citrus yield and quality.

[0021] This intelligent monitoring system for citrus pests, based on BeiDou positioning and multimodal data fusion, can regulate the temperature, humidity, soil pH, and nitrogen, phosphorus, and potassium content of citrus trees in a timely manner by setting up an environmental control unit. This allows citrus trees to grow better, resulting in higher yields and higher quality fruits, thus bringing convenience to citrus cultivation. Attached Figure Description

[0022] Figure 1 This is a flowchart of the system of the present invention;

[0023] Figure 2 This is an architecture diagram of the aggregation gateway in the system of this invention.

[0024] The diagram shows: 1. Environmental Information Acquisition Unit; 11. Temperature and Humidity Acquisition Module; 12. Light Acquisition Module; 13. Rainfall Acquisition Module; 14. Wind Speed ​​and Direction Acquisition Module; 15. Soil pH Acquisition Module; 16. Soil Nitrogen, Phosphorus, and Potassium Acquisition Module; 17. Image Acquisition Module; 18. Photoelectric Detection Module; 2. Unified Data Management Unit; 21. Data Receiving Module; 22. Data Analysis and Processing Module; 23. Data Storage Module; 24. Data Transmission Module; 25. Command Transmission Module; 3. Communication Unit; 31. Zigbee Communication Module; 32. LoRa Communication Module; 33. 5G / 4G Communication Module; 34. Beidou Communication Module; 4. Pest Early Warning and Control Unit; 41. Light Pesticide Module; 42. Chemical Pesticide Module; 5. Environmental Control Unit. Detailed Implementation

[0025] The present invention will be further described below with reference to embodiments.

[0026] The following embodiments are used to illustrate the present invention, but should not be used to limit the scope of protection of the present invention. The conditions in the embodiments can be further adjusted according to specific conditions, and simple improvements to the method of the present invention under the premise of the concept of the present invention are all within the scope of protection claimed by the present invention.

[0027] Example 1

[0028] Please see Figure 1 This invention provides an intelligent monitoring system for citrus pests based on BeiDou positioning and multimodal data fusion, including an environmental information acquisition unit 1, a unified data management unit 2, a communication unit 3, a pest early warning and control unit 4, and an environmental control unit 5. The environmental information acquisition unit 1 is used to collect information on temperature and humidity, light intensity, natural rainfall, wind speed and direction, soil pH and nitrogen, phosphorus and potassium content, as well as planting environment and pest images of citrus. The environmental information acquisition unit 1 includes a temperature and humidity acquisition module 11, a light acquisition module 12, a rainfall acquisition module 13, a wind speed and direction acquisition module 14, a soil pH acquisition module 15, a soil nitrogen, phosphorus and potassium acquisition module 16, an image acquisition module 17, and a photoelectric detection module 18.

[0029] In this embodiment, the temperature and humidity acquisition module 11 is used to acquire temperature and humidity data of the citrus planting environment, and the temperature and humidity acquisition module 11 is specifically a temperature and humidity sensor; the light acquisition module 12 is used to acquire light intensity data of the citrus planting environment, and the light acquisition module 12 is specifically a light sensor; the rainfall acquisition module 13 is used to acquire natural rainfall data of citrus planting, and the rainfall acquisition module 13 is specifically a rainfall sensor; and the wind speed and direction acquisition module 14 is used to acquire wind speed and direction data of the citrus planting environment, and the wind speed and direction acquisition module 14 is specifically a wind speed and direction sensor.

[0030] In the actual planting of citrus trees, temperature and humidity sensors can be installed and fixed at equal intervals between the citrus trees using support frames. Alternatively, the sensors can be inserted near the roots of each citrus tree. This allows for the collection of temperature and humidity data not only in the surrounding environment but also in the soil of each tree. Similarly, light sensors, rainfall sensors, and wind speed and direction sensors can be installed and fixed between the citrus trees according to the data collection needs using support frames. The temperature, humidity, light intensity, natural rainfall, and wind speed and direction data collected in local areas can be aggregated to reflect the overall environmental data of the citrus orchard.

[0031] In this embodiment, the soil pH acquisition module 15 is used to acquire pH data in the citrus planting soil, and the soil pH acquisition module 15 is specifically a pH sensor. The soil nitrogen, phosphorus and potassium acquisition module 16 is used to acquire nitrogen, phosphorus and potassium data in the citrus planting soil, and the soil nitrogen, phosphorus and potassium acquisition module 16 is specifically a nitrogen, phosphorus and potassium sensor.

[0032] In the actual planting process of citrus trees, the pH and nitrogen, phosphorus and potassium content of the planting soil play a crucial role in the growth of citrus fruits. Real-time monitoring of the pH and nitrogen, phosphorus and potassium content of the planting soil can ensure that citrus trees can bear fruit better, thereby improving the yield and taste of citrus fruits. Specifically, pH and nitrogen, phosphorus and potassium sensors can be pre-buried near the roots of citrus trees, which can accurately detect and collect data on the pH and nitrogen, phosphorus and potassium content in the soil of citrus trees.

[0033] In this embodiment, the image acquisition module 17 is used to acquire images of the citrus planting environment and pests, and the image acquisition module 17 is specifically an infrared camera. The photoelectric detection module 18 is used to detect the photoelectric status of the solar insecticidal lamp, and the photoelectric detection module 18 is specifically a photoelectric sensor.

[0034] In the actual planting process of citrus trees, far-infrared cameras can be fixedly installed on the citrus trees, or drones can be equipped with far-infrared cameras. This allows for real-time filming of the citrus tree planting environment and the pests present on the trees. The use of far-infrared cameras to capture image information is simpler, more convenient, and saves time and labor compared to traditional manual on-site inspections, thus improving the efficiency of citrus orchard inspections. Through photoelectric sensors, the light absorption rate and power conversion rate of the solar photovoltaic panels on the solar insecticidal lamps can be detected in real time. This allows for a clear understanding of the actual working status of each solar insecticidal lamp. When a solar insecticidal lamp malfunctions, technicians can be promptly arranged to repair or replace it, ensuring the normal and stable operation of the solar insecticidal lamps and thus guaranteeing the pest control effect in the citrus orchard.

[0035] In this embodiment, the unified data management unit 2 is used to perform big data intelligent analysis and processing on the collected information data. The unified data management unit 2 includes a data receiving module 21, a data analysis and processing module 22, a data storage module 23, a data transmission module 24, and an instruction transmission module 25. The data receiving module 21 and the data analysis and processing module 22 are connected by signals, and the data analysis and processing module 22 is connected by signals to the data storage module 23, the data transmission module 24, and the instruction transmission module 25, respectively.

[0036] In the process of citrus orchard data management, the data receiving module 21 is used to summarize various data information collected by the environmental information collection unit 1 and transmit the summarized data information to the data analysis and processing module 22. At this time, the data analysis and processing module 22 can use big data technology and image analysis and processing technology to process and analyze the collected data, mine valuable information, provide scientific basis for pest control, and through big data analysis, more accurately predict the occurrence trend of pests, provide timely and accurate guidance for prevention and control work. At the same time, based on the big data analysis results, it can intelligently formulate prevention and control strategies, such as automatically identifying pest types, predicting pest occurrence trends, and recommending prevention and control methods. This helps to improve the intelligence level of pest control, reduce manual intervention and misjudgment, and thus improve the prevention and control effect.

[0037] Meanwhile, the data analysis and processing module 22 can also model and predict pest data using artificial intelligence technologies such as machine learning and deep learning, thereby realizing intelligent identification and early warning of pests. After the data analysis and processing module 22 has completed the analysis and processing of various types of data information, the data storage module 23 and the data transmission module 24 can uniformly manage, store and transmit the processed data, and transmit the pest data and early warning information to the existing display terminal (such as a display screen) through maps and charts, so that it can be visualized and made convenient for farmers to intuitively understand the pest situation in the citrus planting area. The instruction transmission module 25 can issue corresponding commands to the pest early warning and control unit 4 and the environmental control unit 5, so that the pest early warning and control unit 4 and the environmental control unit 5 can work and operate.

[0038] In this embodiment, for the data collected by multiple modules in the environmental information acquisition unit 1, a K-Means clustering algorithm is established to achieve dynamic processing of multimodal data. Specifically, a variational Bayesian adaptive Kalman filter model is established for data iteration; the expression for the variational Bayesian adaptive Kalman filter model for data iteration is:

[0039] F r q =[Y (w) ×H e ]×[F r ×e y(s) ];

[0040] In the above formula, F r q Y represents the change group of the collected data after iteration. (w) Let e ​​represent the likelihood function. y(s) H represents the density function of the gamma distribution of the collected data variation group. e F represents the measured value input to the acquisition module. r This represents the data change group formed under the measured values ​​input by the acquisition module, Fr=[A1,A2,...,An], where A1,A2,...,An represent the temperature and humidity of citrus planting, light intensity, natural rainfall, wind speed and direction, soil pH and nitrogen, phosphorus and potassium content, respectively.

[0041] Based on the acquired detection data and preset periodic state change information, the K-Means clustering algorithm is used to describe the quality of the detection results for early warning of citrus pest infestations. The expression for the K-Means clustering algorithm is:

[0042]

[0043] In the above formula, RE is used to describe the quality of the detection result, θ represents the Euclidean distance, m represents the number of iterations, M represents the dimension of the data type, and BP Indicates the cluster center.

[0044] Once the processing of the current data set Fr = [A1, A2, ..., An] is complete, the process continues to acquire data of the next data set type. When all data sets Fr = [A1, A2, ..., An] have been traversed, the processing for the current time step ends, and the process continues to acquire data for the next time step. The system checks whether the changed data set Fr = [A1, A2, ..., An] is within the detection zone. If it is, a pest infestation warning is issued. Based on this process, the problem of duplicate warnings caused by unstable monitoring algorithms is avoided.

[0045] In this embodiment, the communication unit 3 is used for diversified data transmission and precise positioning. The communication unit 3 includes a Zigbee communication module 31, a LoRa communication module 32, a 5G / 4G communication module 33, and a Beidou communication module 34. The 5G / 4G communication module 33 is used to connect the background network and the mobile terminal, and the Beidou communication module 34 is used for high-precision positioning and data transmission.

[0046] During the data transmission process in the citrus orchard, the Beidou communication module 34 is used. It can utilize the high-precision positioning and data transmission functions of Beidou to achieve precise monitoring and data collection of the citrus planting area. This ensures that the system can accurately monitor the geographical location and range of the citrus planting area, which helps to improve the efficiency and accuracy of pest control. The 5G / 4G communication module 33 can upload data to the server, transforming edge computing into cloud computing, for identification and counting, realizing intelligent pest monitoring and big data prevention and control. Managers can conveniently view the pest and disease situation remotely through the backend webpage or mobile app, and combine intelligent information acquisition to predict the occurrence of pests and diseases.

[0047] The system also supports cross-regional cooperation and data sharing, integrating and analyzing pest data from different regions and different crop varieties. This helps promote information sharing and experience exchange, improve the overall prevention and control level of the industry, and has cloud sharing capabilities for regional pest and disease big data. It has established an IoT system for monitoring and early warning of crop pests and diseases based on a B / S architecture, thereby realizing cloud sharing of regional crop pest and disease monitoring data and connecting with the automatic monitoring and control system for crop pests and diseases.

[0048] In this embodiment, the pest early warning and control unit 4 is used to promptly alarm and control the pest situation in citrus planting. The pest early warning and control unit 4 includes a light insecticidal module 41 and a chemical insecticidal module 42. The light insecticidal module 41 uses light to kill pests, and the light insecticidal module 41 is specifically a solar insecticidal lamp. The chemical insecticidal module 42 is used to spray insecticide.

[0049] During pest control in citrus orchards, the instruction transmission module 25 can activate solar-powered insecticidal lamps based on the actual pest situation of the fruit trees. The light from these lamps attracts and kills pests. Simultaneously, drones equipped with spraying devices can be used to spray pesticides on severely infested areas. This allows for targeted pesticide application in citrus orchards, avoiding the problem of pesticide contamination caused by the difficulty in accurately controlling the spraying area or dosage during traditional manual spraying. Using drones for targeted pest control not only saves labor but also allows for precise spraying, reducing pesticide usage and pollution. This achieves the benefits of scientific, green, cost-effective, and quality-enhancing pesticide use.

[0050] In this embodiment, the environmental control unit 5 is used to regulate the temperature, humidity and soil environment of citrus planting. The environmental control unit 5 is used to regulate the temperature, humidity and soil environment of citrus planting, and the environmental control unit 5 can be specifically controlled by spraying.

[0051] In the process of controlling the planting environment in citrus orchards, existing sprinkler systems can be used for water spraying and temperature regulation, or drones equipped with sprinkler devices can be used for localized water spraying and temperature regulation. This allows for the regulation of temperature and humidity in the citrus planting environment. At the same time, soil conditioners can be sprayed onto the roots of citrus trees to regulate soil pH and nitrogen, phosphorus, and potassium content, enabling citrus trees to grow better. This leads to higher yields and higher quality fruits, thus bringing convenience to citrus cultivation.

[0052] Example 2

[0053] Please see Figure 2 In this embodiment, the data analysis and processing module 22 from embodiment one is used in conjunction with an ARM processor. At this time, the ARM processor will work with the environmental information acquisition unit 1, the communication unit 3 (specifically, the Zigbee communication module 31, the LoRa communication module 32, the 5G / 4G communication module 33 and the Beidou communication module 34), the infrared beam module, the far-infrared camera, the FLASH module, the RS485 interface, the WIFI module, the Ethernet interface and the control module to form a convergence gateway. This facilitates the aggregation and transmission of various data information collected, that is, it can fuse various data information collected by multiple modules such as the temperature and humidity acquisition module 11, the light acquisition module 12, the rainfall acquisition module 13, the wind speed and direction acquisition module 14, the soil pH acquisition module 15, the soil nitrogen, phosphorus and potassium acquisition module 16, the image acquisition module 17 and the photoelectric detection module 18.

[0054] Employing technologies such as 5G, Zigbee, LoRa, and WIFI, this gateway enables self-organizing network communication with monitoring and control terminals. It is compatible with data acquisition and control from Zigbee and LoRa protocol terminals, and supports multi-protocol data communication. Through WIFI and 5G technologies, it aggregates and uploads data to the server, transforming edge computing into cloud computing. This aggregation gateway is responsible for data aggregation, processing, and transmission from monitoring and control terminals in citrus orchards, and is the central device of the intelligent control system for citrus orchards.

[0055] Simultaneously, this aggregation gateway collects, summarizes, and controls data such as insect pest data, soil data, temperature and humidity data, light intensity data, and rainfall data in the orchard planting system. It uses sensors to acquire relevant environmental parameters of citrus orchards and establishes a big data collection system and basic data system using sensor networks, 5G, and PTZ monitoring networks. This enables the construction of an information-based supervision, control, and operation and maintenance platform for citrus orchards, achieving real-time data visualization and monitoring, intelligent supervision of citrus orchards, and traceability of agricultural products.

[0056] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A citrus pest infestation intelligent monitoring system based on BeiDou positioning and multimodal data fusion, characterized in that, The system includes an environmental information collection unit (1), a unified data management unit (2), a communication unit (3), a pest early warning and control unit (4), and an environmental control unit (5). The environmental information collection unit (1) is used to collect information on temperature and humidity, light intensity, natural rainfall, wind speed and direction, soil pH and nitrogen, phosphorus and potassium content, as well as planting environment and pest images for citrus cultivation. The unified data management unit (2) is used to perform big data intelligent analysis and processing on the collected information data. The communication unit (3) is used to perform diversified transmission and precise positioning of data. The pest early warning and control unit (4) is used to provide timely alarms and control for pests in citrus cultivation. The environmental control unit (5) is used to regulate the temperature, humidity and soil environment of citrus cultivation.

2. The intelligent monitoring system for citrus pests based on BeiDou positioning and multimodal data fusion as described in claim 1, characterized in that: The environmental information acquisition unit (1) includes a temperature and humidity acquisition module (11), a light acquisition module (12), a rainfall acquisition module (13), a wind speed and direction acquisition module (14), a soil pH acquisition module (15), a soil nitrogen, phosphorus and potassium acquisition module (16), an image acquisition module (17), and a photoelectric detection module (18).

3. The intelligent monitoring system for citrus pests based on BeiDou positioning and multimodal data fusion as described in claim 2, characterized in that: The temperature and humidity acquisition module (11) is used to collect temperature and humidity data of the citrus planting environment, and the temperature and humidity acquisition module (11) is specifically a temperature and humidity sensor. The light acquisition module (12) is used to collect light intensity data of the citrus planting environment, and the light acquisition module (12) is specifically a light sensor. The rainfall acquisition module (13) is used to collect natural rainfall data of citrus planting, and the rainfall acquisition module (13) is specifically a rainfall sensor. The wind speed and direction acquisition module (14) is used to collect wind speed and direction data of the citrus planting environment, and the wind speed and direction acquisition module (14) is specifically a wind speed and direction sensor.

4. The intelligent monitoring system for citrus pests based on BeiDou positioning and multimodal data fusion as described in claim 2, characterized in that: The soil pH acquisition module (15) is used to collect pH data in the soil for citrus cultivation, and the soil pH acquisition module (15) is specifically a pH sensor. The soil nitrogen, phosphorus and potassium acquisition module (16) is used to collect nitrogen, phosphorus and potassium data in the soil for citrus cultivation, and the soil nitrogen, phosphorus and potassium acquisition module (16) is specifically a nitrogen, phosphorus and potassium sensor.

5. The intelligent monitoring system for citrus pests based on BeiDou positioning and multimodal data fusion as described in claim 2, characterized in that: The image acquisition module (17) is used to acquire images of the citrus planting environment and pests, and the image acquisition module (17) is specifically an infrared camera. The photoelectric detection module (18) is used to detect the photoelectric status of the solar insecticidal lamp, and the photoelectric detection module (18) is specifically a photoelectric sensor.

6. The intelligent monitoring system for citrus pests based on BeiDou positioning and multimodal data fusion as described in claim 1, characterized in that: The unified data management unit (2) includes a data receiving module (21), a data analysis and processing module (22), a data storage module (23), a data transmission module (24), and an instruction transmission module (25). The data receiving module (21) and the data analysis and processing module (22) are connected by signals. The data analysis and processing module (22) is connected by signals to the data storage module (23), the data transmission module (24), and the instruction transmission module (25), respectively.

7. The intelligent monitoring system for citrus pests based on BeiDou positioning and multimodal data fusion as described in claim 1, characterized in that: The communication unit (3) includes a Zigbee communication module (31), a LoRa communication module (32), a 5G / 4G communication module (33), and a Beidou communication module (34).

8. The intelligent monitoring system for citrus pests based on BeiDou positioning and multimodal data fusion as described in claim 7, characterized in that: The 5G / 4G communication module (33) is used to connect the backend network and the mobile terminal, and the Beidou communication module (34) is used for high-precision positioning and data transmission.

9. The intelligent monitoring system for citrus pests based on BeiDou positioning and multimodal data fusion as described in claim 1, characterized in that: The pest early warning and control unit (4) includes a light insecticidal module (41) and a chemical insecticidal module (42). The light insecticidal module (41) uses light to kill pests, and the light insecticidal module (41) is specifically a solar-powered insecticidal lamp. The chemical insecticidal module (42) is used to spray insecticide.

10. The intelligent monitoring system for citrus pests based on BeiDou positioning and multimodal data fusion as described in claim 1, characterized in that: The environmental control unit (5) is used to regulate the temperature, humidity and soil environment of citrus planting, and the environmental control unit (5) can be specifically controlled by spraying.

Images