Comprehensive monitoring and early warning method for citrus orchard

Abstract

The invention discloses a comprehensive monitoring and early warning method for a citrus orchard, and relates to the technical field of fruit planting.The monitoring and early warning method comprises the following specific steps that a comprehensive monitoring platform is built, the comprehensive monitoring platform identifies functions of connected sensors, and monitoring types are built according to the functions of the sensors; wherein the monitoring types comprise environment monitoring, pest and disease damage monitoring, growth monitoring and citrus tree data evaluation, and overall evaluation is carried out on the citrus trees according to the data of the environment monitoring, pest and disease damage monitoring and growth monitoring of the citrus trees. A sensor is used for monitoring the environment, plant diseases and insect pests and citrus tree growth, meanwhile, the citrus trees are evaluated according to data, and when the citrus tree data are abnormal, the comprehensive monitoring platform can automatically call related data and generate a planting scheme, so that a subsequent user can conveniently process the citrus trees in a targeted manner.

Description

Technical Field

[0001] The present invention relates to the technical field of fruit planting, and in particular to a comprehensive monitoring and early warning method for a citrus orchard. Background Art

[0002] Citrus is an important fruit crop, widely grown around the world. However, the management of citrus orchards faces many challenges. Traditional orchard management relies mainly on manual experience and irregular inspections, which have many limitations. Therefore, a comprehensive monitoring method is needed to monitor citrus trees in orchards to ensure their normal growth.

[0003] Although the existing comprehensive monitoring method for citrus orchards can effectively control the occurrence of pests and diseases, it cannot deal with other problems in the orchard. The soil, environment and the growth of citrus trees themselves may affect the production of citrus trees. Therefore, we propose a comprehensive monitoring and early warning method for citrus orchards. Summary of the Invention

[0004] The purpose of the present invention is to provide a citrus orchard comprehensive monitoring and early warning method.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a comprehensive monitoring and early warning method for a citrus orchard, wherein the specific steps of the monitoring and early warning method are as follows:

[0006] S100: Build a comprehensive monitoring platform. The comprehensive monitoring platform identifies the functions of connected sensors and builds monitoring types based on the sensor functions. The monitoring types include environmental monitoring, pest and disease monitoring, and growth monitoring.

[0007] S200, citrus tree assessment data, provides an overall assessment of citrus trees based on data from environmental monitoring, pest and disease monitoring, and growth monitoring;

[0008] S300, monitoring threshold data, wherein the integrated monitoring platform sets evaluation thresholds according to different regions, and the evaluation thresholds are obtained from historical citrus orchard growth data. When the overall evaluation data of the citrus trees is lower than the evaluation threshold data, the integrated monitoring platform generates citrus tree planting plan data;

[0009] S400, monitoring and early warning: an alarm module is set in the comprehensive monitoring platform, and the alarm module is used to perform alarm processing on abnormal data of citrus fruits in the orchard.

[0010] As a further solution of the present invention: the specific steps in S100 are as follows:

[0011] S110: The user installs sensors in the orchard, and then transmits environmental data, pest and disease data, and citrus tree growth data collected by the sensors to a server via communication technology. The server classifies and stores the data collected by different sensors according to sensor models.

[0012] S120: The user deploys the integrated monitoring platform on the server. The integrated monitoring platform retrieves different types of monitoring data from the server and generates a monitoring data list based on the different types of monitoring data.

[0013] S130. An external interface is opened in the comprehensive monitoring platform, and the user performs chemical testing on the citrus trees through a portable chemical testing device, detects agricultural residues and harmful chemicals in the citrus trees through the portable chemical testing device, and transmits the data detected by the portable chemical testing device to the comprehensive monitoring platform through the external interface.

[0014] As a further solution of the present invention: the specific steps of S200 are as follows:

[0015] S210: The integrated monitoring platform sets an evaluation model, and then transmits the environmental monitoring, pest and disease monitoring, and growth monitoring data to the evaluation model, and the evaluation model evaluates the orchard environment, pest and disease monitoring, and growth data.

[0016] S220. The integrated monitoring platform analyzes future growth data of the citrus trees based on the historical data, and then transmits the future growth data of the citrus trees to the evaluation model, where the evaluation model evaluates the future growth data.

[0017] S230, the integrated monitoring platform transmits the evaluation data to S300.

[0018] As a further embodiment of the present invention, the integrated monitoring platform evaluates the citrus trees in the orchard according to a formula, which is as follows:

[0019] S i =α·H i +β·B i +γ·Z i

[0020] Among them, S i represents the evaluation data of the i-th citrus tree in the orchard, H i represents the environmental data around the i-th citrus tree in the orchard, B i represents the pest and disease data around citrus trees in the orchard, Z i represents the growth status data around the i-th citrus tree in the orchard, α, β and γ represent the weight coefficients of environmental data, pest and disease data and growth status data respectively, and α+β+γ=1.

[0021] As a further solution of the present invention: the comprehensive monitoring platform retrieves historical data and obtains the evaluation data of citrus trees at future times according to the formula. The specific formula is as follows:

[0022]

[0023] Among them, S 预 represents the evaluation data of citrus trees at future times, n represents the time data that the comprehensive monitoring platform needs to predict, p represents the maximum growth time data of citrus trees, represents the total evaluation data of citrus trees in the historical data, represents the total evaluation data of citrus trees from the past to the present, and W represents different error terms of environmental data, pest data, and growth data.

[0024] As a further solution of the present invention: the specific steps of S300 are as follows:

[0025] S310: Retrieve historical data from different regions, then set thresholds according to the citrus trees in different regions. Use the data of the citrus tree with the first evaluation in the current region in the historical data as the evaluation threshold, and set the evaluation threshold as X;

[0026] S320: When S i ≥X95%, the comprehensive monitoring platform saves the citrus tree data. When X80%≤S i <X95%, the comprehensive monitoring platform creates an optimization instruction, transmits the optimization instruction data to S400, and S400 creates a warning according to the optimization instruction data, and reminds the user when the user logs in to the comprehensive monitoring platform. When S i <X80%, the comprehensive monitoring platform creates a warning instruction, transmits the warning instruction data to S400, and S400 retrieves the user contact information according to the warning instruction data, and the comprehensive monitoring platform reminds the user according to the user contact information;

[0027] S330: The comprehensive monitoring platform sets monitoring thresholds for the data of environmental monitoring, pest monitoring, and growth monitoring, and sets the monitoring thresholds of environmental monitoring, pest monitoring, and growth monitoring as H min , B min and Z min respectively. When the comprehensive monitoring platform monitors that H i , B i and Z i any one of them is lower than the corresponding threshold, the comprehensive monitoring platform creates an emergency warning instruction, transmits the emergency warning instruction data to S400, and S400 retrieves the user contact information according to the warning instruction data, and the comprehensive monitoring platform reminds the user according to the user contact information.

[0028] As a further solution of the present invention: The specific steps in S400 are as follows:

[0029] S410. Set up a user storage unit in the comprehensive monitoring platform, and use the user storage unit to store user contact information.

[0030] S420. Early warning level and response. Create an early warning level according to the steps in S300. The early warning level is divided into level one and level two. When X80% ≤ S < X95% in S320, enable the level one early warning level. When S < X80% and it is detected that one of H i < X95%, when S < X80% and it is detected that one of H i < X80% and it is detected that one of H i <, B i <, and Z i is lower than the corresponding threshold value, the comprehensive monitoring platform retrieves the contact information in the user storage unit, and the comprehensive monitoring platform notifies the user according to the contact information.

[0031] S430. When a level two response occurs, the comprehensive monitoring platform transmits an early warning instruction to the alarm module, and then the alarm module gives an early warning through a buzzer.

[0032] As a further solution of the present invention: An optimization model is set in the comprehensive monitoring platform. When the alarm module responds, the optimization model retrieves the citrus tree evaluation data, adjusts the environment and pests and diseases around the citrus tree according to the evaluation data, and generates a corresponding optimization strategy plan according to the adjustment data. The user can view the optimization strategy plan after logging in to the comprehensive monitoring platform.

[0033] Adopting the above technical solutions, compared with the prior art, the beneficial effects of the present invention are as follows:

[0034] 1. The present invention obtains data of the citrus orchard through sensors. Subsequently, the sensors are used to monitor the environment, pests and diseases, and the growth of citrus trees. At the same time, the citrus trees are evaluated according to the data. When the data of the citrus trees is abnormal, the comprehensive monitoring platform can automatically retrieve relevant data and generate a planting plan, which is convenient for the subsequent user to deal with the citrus trees targeted.

[0035] 2. The present invention evaluates the citrus trees, and then the comprehensive monitoring platform generates and adjusts the planting plan of the citrus trees according to the evaluation data, so as to facilitate the user to breed the citrus trees according to the plan generated by the comprehensive monitoring platform, effectively reducing the problems that occur during the planting of citrus trees and significantly improving the planting quality of citrus trees.

[0036] 3. The present invention uses a formula to obtain evaluation data of citrus trees within a certain period of time in the future, and then sets the data of n and p as needed, so that the comprehensive monitoring platform can monitor the citrus trees for a period of time in the future as needed, thereby achieving early prediction of citrus trees, allowing the comprehensive monitoring platform to discover problems with citrus trees in advance and deal with them in a timely manner;

[0037] 4. The present invention cooperates with the optimization model and the evaluation model. After the early warning module receives the instruction, the optimization model analyzes the adjustment direction of the citrus tree according to the evaluation data of the evaluation model, and then generates a planting plan based on the analysis results. The planting plan is transmitted to the comprehensive monitoring platform, so that the user can view the planting plan after logging into the comprehensive monitoring platform.

[0038] Other advantages, objects and features of the present invention will be described in part in the following description and, in part, will be apparent to those skilled in the art based on an examination of the following or may be learned from the practice of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 This is a step diagram of the monitoring and early warning method in an embodiment of the present invention. DETAILED DESCRIPTION

[0040] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings. It should be noted that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation of the present invention.

[0041] In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0042] Example 1:

[0043] Please see the attached Figure 1 The present invention provides a comprehensive monitoring and early warning method for a citrus orchard. The specific steps of the monitoring and early warning method are as follows:

[0044] S100: Build a comprehensive monitoring platform. The comprehensive monitoring platform identifies the functions of connected sensors and builds monitoring types based on the sensor functions. The monitoring types include environmental monitoring, pest and disease monitoring, and growth monitoring.

[0045] S200, citrus tree assessment data, provides an overall assessment of citrus trees based on data from environmental monitoring, pest and disease monitoring, and growth monitoring;

[0046] S300, monitoring threshold data: the integrated monitoring platform sets evaluation thresholds according to different regions, and the evaluation thresholds are obtained from historical citrus orchard growth data. When the overall evaluation data of the citrus trees is lower than the evaluation threshold data, the integrated monitoring platform generates citrus tree planting plan data;

[0047] S400, monitoring and early warning, an alarm module is set up in the comprehensive monitoring platform, and the alarm module is used to process abnormal data of citrus in the orchard.

[0048] Specific work flow: The integrated monitoring platform first identifies the various connected sensors, including temperature sensors, humidity sensors, light sensors, etc. for environmental monitoring, insect traps, sticky insect boards, chemical detection equipment, etc. for pest and disease monitoring, as well as image acquisition equipment, physiological indicator measurement equipment, etc. for growth monitoring. The platform communicates with the sensors to determine the measurement parameters and data types of each sensor in order to correctly interpret the data collected by the sensors. Based on the functions of the sensors, the platform divides monitoring into three categories: environmental monitoring, pest and disease monitoring, and growth monitoring. Environmental monitoring mainly focuses on the meteorological conditions and soil conditions of the orchard, such as temperature, humidity, rainfall, wind speed, soil moisture, pH, fertility, etc. These factors directly affect The growth and development and living environment of citrus trees, pest and disease monitoring use physical, biological and chemical means to monitor pests and pathogens in orchards. For example, insect traps and sticky insect boards are used to monitor the types and numbers of pests, and natural enemies of pests are released to observe their control effects on pests. Citrus leaves and fruits are sampled and tested regularly to analyze the pesticide residues and harmful chemical content, and to detect pathogens such as viruses and bacteria. Growth monitoring includes image monitoring and physiological indicator monitoring of citrus trees. Image monitoring can use cameras and drones to shoot citrus plants and analyze their growth stage, crown size, leaf color and density, etc. Physiological indicator monitoring includes measuring the photosynthetic rate and transpiration rate of citrus, as well as detecting the quality indicators of citrus fruits such as sugar content, Acidity, hardness, etc., and then through S200, the platform collects relevant data of citrus trees from different channels such as environmental monitoring, pest and disease monitoring and growth monitoring. Environmental monitoring data provides information on the external conditions for the growth of citrus trees, pest and disease monitoring data reflects the biological threats faced by citrus trees, and growth monitoring data directly shows the growth status and fruit quality of the citrus trees themselves. Based on the various data collected, the platform conducts an overall assessment of the citrus trees. The assessment involves multiple indicators, such as the growth vitality, health status, fruit yield and quality potential of citrus trees. For example, combined with the temperature, humidity and soil fertility data in environmental monitoring, and the leaf color, tree height, crown width and fruit quality indicators in growth monitoring, it can be comprehensively judged whether the citrus trees are in a suitable The growth environment of the citrus trees, whether there is sufficient nutrient supply, and whether the growth and development are normal. If the pest and disease monitoring data shows the presence of a large number of pests or pathogens, it will also affect the overall evaluation results, indicating that the citrus trees face a high risk of pests and diseases, affecting their growth and yield. The comprehensive monitoring platform sets evaluation thresholds based on the actual conditions of different regions. These thresholds can be adjusted according to factors such as citrus varieties, local climate, soil conditions, and orchard management level. When the overall evaluation data of the citrus trees is lower than the evaluation threshold, the platform determines that the citrus trees are in an abnormal state and planting measures need to be taken. The platform generates citrus tree planting plan data based on the specific abnormal situation. The planting plan includes adjusting irrigation and fertilization plans, taking pest and disease control measures, and improving orchard environmental conditions.An alarm module is set up in the comprehensive monitoring platform to process abnormal data of citrus in the orchard. When the monitoring data shows that the citrus trees are abnormal, the alarm module is triggered.

[0049] Furthermore, data from the citrus orchard is obtained through sensors, and then the sensors are used to monitor the environment, pests and diseases, and the growth of citrus trees. At the same time, the citrus trees are evaluated based on the data. When the citrus tree data is abnormal, the comprehensive monitoring platform can automatically retrieve relevant data and generate a planting plan, which facilitates subsequent users to carry out targeted treatment of the citrus trees.

[0050] Example 2:

[0051] Based on the first embodiment, please refer to the attached Figure 1 As shown, the specific steps in S100 are as follows:

[0052] S110: The user installs sensors in the orchard and transmits environmental data, pest and disease data, and citrus tree growth data collected by the sensors to a server via communication technology. The server classifies and stores the data collected by different sensors according to sensor models.

[0053] S120: The user deploys the integrated monitoring platform on the server. The integrated monitoring platform retrieves different types of monitoring data from the server and generates a monitoring data list based on the different types of monitoring data.

[0054] S130: An external interface is opened in the integrated monitoring platform, and a user uses a portable chemical detection device to perform chemical testing on citrus trees. The portable chemical detection device detects agricultural residues and harmful chemicals in the citrus trees, and the data detected by the portable chemical detection device is transmitted to the integrated monitoring platform through the external interface. The specific steps of S200 are as follows:

[0055] S210, the integrated monitoring platform sets up an evaluation model, and then the integrated monitoring platform transmits the data of environmental monitoring, pest and disease monitoring, and growth monitoring to the evaluation model, and the evaluation model evaluates the data of the environment, pest and disease monitoring, and growth in the orchard;

[0056] S220. The integrated monitoring platform analyzes future growth data of the citrus trees based on the historical data, and then transmits the future growth data of the citrus trees to the evaluation model, which evaluates the future growth data.

[0057] S230, the integrated monitoring platform transmits the evaluation data to S300, and the integrated monitoring platform evaluates the citrus trees in the orchard according to the formula. The specific formula is as follows:

[0058] S i =α·H i +β·Bi +γ·Z i

[0059] Among them, S i represents the evaluation data of the i-th citrus tree in the orchard, H i represents the environmental data around the i-th citrus tree in the orchard, B i represents the pest and disease data around citrus trees in the orchard, Z i represents the growth status data around the i-th citrus tree in the orchard, α, β and γ represent the weight coefficients of environmental data, pest and disease data and growth status data respectively, and α+β+γ=1.

[0060] Specific work flow: Through communication technology (such as Ethernet, ZigBee, Wi-Fi, etc.), the sensor transmits the collected data to the server. The user deploys the comprehensive monitoring platform on the server. The comprehensive monitoring platform can retrieve different types of monitoring data from the server through network connection. The comprehensive monitoring platform sets up an evaluation model. This evaluation model is a data analysis and evaluation tool. It can comprehensively evaluate the condition of the orchard based on different types of input data. The comprehensive monitoring platform analyzes the future growth data of citrus trees based on historical data, and predicts the growth trend and possible changes of citrus trees in the future by analyzing the growth data, environmental data and management measures of citrus trees in the past period of time.

[0061] Furthermore, by evaluating the citrus trees, the comprehensive monitoring platform generates and adjusts the planting plan for the citrus trees based on the evaluation data, making it easier for users to cultivate the citrus trees according to the plan generated by the comprehensive monitoring platform, effectively reducing the problems that arise during the planting of citrus trees and significantly improving the planting quality of citrus trees.

[0062] Example 3:

[0063] Based on the second embodiment, please refer to the attached Figure 1 As shown, the integrated monitoring platform retrieves historical data and obtains the evaluation data of citrus trees in the future according to the formula. The specific formula is as follows:

[0064]

[0065] Among them, S 预 represents the evaluation data of the citrus tree in the future, n represents the time data that the comprehensive monitoring platform needs to predict, and p represents the maximum growth time data of the citrus tree. Represents the total evaluation data of citrus trees in historical data, represents the total evaluation data of citrus trees from the past to the present, and W represents the error terms of environmental data, pest data and growth data.

[0066] Further, obtain the evaluation data of citrus trees within a certain period in the future through formulas, and then set the data of n and p as needed, so that the comprehensive monitoring platform monitors the citrus trees for a period of time in the future as needed, thereby achieving the early prediction of citrus trees, enabling the comprehensive monitoring platform to discover problems of citrus trees in advance and handle them in a timely manner.

[0067] Embodiment 4:

[0068] Based on Embodiment 3, please refer to the appendix Figure 1 As shown, the specific steps of S300 are as follows:

[0069] S310. Retrieve the historical data of different regions, and then set thresholds according to the citrus trees in different regions. Use the data of the citrus tree with the first evaluation data in the current region in the historical data as the evaluation threshold, and set the evaluation threshold as X;

[0070] S320. When S i ≥X95%, the comprehensive monitoring platform saves the citrus tree data. When X80%≤S i <X95%, the comprehensive monitoring platform creates an optimization instruction, transmits the optimization instruction data to S400, and S400 creates a warning according to the optimization instruction data, and reminds the user when the user logs in to the comprehensive monitoring platform. When S i <X80%, the comprehensive monitoring platform creates a warning instruction, transmits the warning instruction data to S400, and S400 retrieves the user contact information according to the warning instruction data, and the comprehensive monitoring platform reminds the user according to the user contact information;

[0071] S330. The comprehensive monitoring platform sets monitoring thresholds for the data of environmental monitoring, pest and disease monitoring, and growth monitoring, and sets the monitoring thresholds of environmental monitoring, pest and disease monitoring, and growth monitoring as H min , B min and Z min , when the comprehensive monitoring platform monitors that H i , B i and Z i When one of them is lower than the corresponding threshold, the comprehensive monitoring platform creates an emergency warning instruction, transmits the emergency warning instruction data to S400, and S400 retrieves the user contact information according to the warning instruction data, and the comprehensive monitoring platform reminds the user according to the user contact information. The specific steps in S400 are as follows:

[0072] S410. Set a user storage unit in the comprehensive monitoring platform, and use the user storage unit to store the user contact information;

[0073] S420, Warning Level and Response: Create warning levels according to the steps in S300, where the warning levels are divided into level 1 and level 2. When X80% ≤ S i <X95% in S320, the first-level warning level is enabled. When S i <X80% and it is detected that H i 、B i and Z i When one of them is lower than the corresponding threshold, the integrated monitoring platform retrieves the contact information in the user's storage unit, and the integrated monitoring platform notifies the user according to the contact information.

[0074] S430: When a secondary response occurs, the integrated monitoring platform transmits a warning instruction to the alarm module, and then the alarm module issues a warning through the buzzer. An optimization model is set in the integrated monitoring platform. When the alarm module responds, the optimization model retrieves the citrus tree evaluation data, adjusts the environment and pests around the citrus tree according to the evaluation data, and generates a corresponding optimization strategy plan. The user can view the optimization strategy plan after logging in to the integrated monitoring platform.

[0075] Specific working process: Through the strategy of multi-level warning, it is convenient for the integrated monitoring platform to conduct warning processing on citrus trees as needed, and at the same time retrieve the user's contact information. Then, the integrated monitoring platform notifies the user according to the contact information, and uses the buzzer to remind the personnel in the orchard.

[0076] Furthermore, through the cooperation of the optimization model and the evaluation model, after the warning module receives the instruction, the optimization model analyzes the adjustment direction of the citrus tree according to the evaluation data of the evaluation model, then generates a planting plan based on the analysis result, and transmits the planting plan to the integrated monitoring platform, so that the user can view the planting plan after logging in to the integrated monitoring platform.

[0077] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art of this industry should understand that the present invention is not limited by the above embodiments. The above embodiments and the descriptions in the specification only illustrate the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A citrus orchard comprehensive monitoring and early warning method, characterized in that: The specific steps of the monitoring and early warning method are as follows: S100, construct a comprehensive monitoring platform, the comprehensive monitoring platform identifies the functions of connected sensors, and constructs monitoring types according to the sensor functions, wherein the monitoring types include environmental monitoring, pest and disease monitoring, and growth monitoring; S200, citrus tree assessment data, which provides an overall assessment of citrus trees based on data from environmental monitoring, pest and disease monitoring, and growth monitoring; S300, monitoring threshold data, the comprehensive monitoring platform sets evaluation thresholds according to different regions, and the evaluation thresholds are obtained from the growth data of the citrus orchard in the historical data, when the overall evaluation data of the citrus trees is lower than the evaluation threshold data, the comprehensive monitoring platform generates citrus tree planting plan data; S400, monitoring and early warning, an alarm module is provided in the comprehensive monitoring platform, and the alarm module is used to perform alarm processing on abnormal data of citrus fruits in the orchard.

2. A citrus orchard comprehensive monitoring and early warning method according to claim 1, characterized in that: The specific steps in S100 are as follows: S110, the user installs the sensor in the orchard, and then transmits the environmental data, pest and disease data, and citrus tree growth data collected by the sensor to the server through communication technology, and the server classifies and stores the data collected by different sensors according to the sensor models; S120: The user deploys the comprehensive monitoring platform in the server, and the comprehensive monitoring platform retrieves different types of monitoring data in the server and generates a monitoring data list according to the different types of monitoring data; S130. An external interface is provided in the comprehensive monitoring platform, and a user performs chemical testing on citrus trees through a portable chemical testing device, detects agricultural residues and harmful chemicals in the citrus trees through the portable chemical testing device, and transmits the data detected by the portable chemical testing device to the comprehensive monitoring platform through the external interface.

3. A citrus orchard comprehensive monitoring and early warning method according to claim 2, characterized in that: The specific steps of S200 are as follows: S210, the integrated monitoring platform sets an evaluation model, and then the integrated monitoring platform transmits the data of environmental monitoring, pest and disease monitoring and growth monitoring to the evaluation model, and the evaluation model evaluates the data of environment, pest and disease monitoring and growth in the orchard; S220, the comprehensive monitoring platform analyzes the future growth data of the citrus tree according to the historical data, and then the comprehensive monitoring platform transmits the future growth data of the citrus tree to the evaluation model, and the evaluation model evaluates the future growth data; S230, the integrated monitoring platform transmits the evaluation data to S300.

4. A citrus orchard comprehensive monitoring and early warning method according to claim 3, characterized in that: The comprehensive monitoring platform evaluates the citrus trees in the orchard according to a formula, which is as follows: S i =α·H i +β·B i +γ·Z i Among them, S i represents the evaluation data of the i-th citrus tree in the orchard, H i represents the environmental data around the i-th citrus tree in the orchard, B i represents the pest and disease data around citrus trees in the orchard, Z i represents the growth status data around the i-th citrus tree in the orchard, α, β and γ represent the weight coefficients of environmental data, pest and disease data and growth status data respectively, and α+β+γ=1.

5. A citrus orchard comprehensive monitoring and early warning method according to claim 4, characterized in that: The comprehensive monitoring platform retrieves historical data and obtains the evaluation data of citrus trees in the future according to the formula. The specific formula is as follows: Among them, S 预 represents the evaluation data of the citrus tree in the future, n represents the time data that the comprehensive monitoring platform needs to predict, and p represents the maximum growth time data of the citrus tree. Represents the total evaluation data of citrus trees in historical data, represents the total evaluation data of citrus trees from the past to the present, and W represents the error terms of environmental data, pest data and growth data.

6. A citrus orchard comprehensive monitoring and early warning method according to claim 5, characterized in that: The specific steps of S300 are as follows: S310, retrieve historical data of different regions, and then set thresholds according to the citrus trees in different regions, use the citrus tree data with the first evaluation data in the current region in the historical data as the evaluation threshold, and set the evaluation threshold to X; S320. When S i ≥ X95%, the integrated monitoring platform saves the data of citrus trees. When X80% ≤ S i < X95%, the integrated monitoring platform creates an optimization instruction, transmits the optimization instruction data to S400, and S400 creates a warning according to the optimization instruction data, and reminds the user when logging in to the integrated monitoring platform. When S i < X80%, the integrated monitoring platform creates a warning instruction, transmits the warning instruction data to S400, S400 retrieves the user contact information according to the warning instruction data, and the integrated monitoring platform reminds the user according to the user contact information; S330: The integrated monitoring platform sets monitoring thresholds for the data of environmental monitoring, pest and disease monitoring, and growth monitoring, and sets the monitoring thresholds of environmental monitoring, pest and disease monitoring, and growth monitoring to H min , B min and Z min When the integrated monitoring platform detects H i , B i and Z i When one of them is lower than the corresponding threshold, the integrated monitoring platform creates an emergency warning instruction and transmits the emergency warning instruction data to S400. S400 retrieves the user contact information according to the warning instruction data, and the integrated monitoring platform reminds the user according to the user contact information.

7. A citrus orchard comprehensive monitoring and early warning method according to claim 6, characterized in that: The specific steps in S400 are as follows: S410, setting a user storage unit in the comprehensive monitoring platform, and using the user storage unit to store user contact information; S420, Warning Level and Response. Create warning levels according to the steps in S300, where the warning levels are divided into level one and level two. When X80% ≤ S i < X95% in S320, activate the level one warning level. When S i < X80% and it is detected that H i 、B i and Z i one of which is lower than the corresponding threshold, the integrated monitoring platform retrieves the contact information in the user storage unit, and the integrated monitoring platform notifies the user according to the contact information; S430: When a secondary response occurs, the integrated monitoring platform transmits a warning instruction to the alarm module, and then the alarm module issues a warning through a self-sounding sounder.

8. A citrus orchard comprehensive monitoring and early warning method according to claim 7, characterized in that: An optimization model is set in the comprehensive monitoring platform. When the alarm module responds, the optimization model retrieves the citrus tree evaluation data, adjusts the environment and pests and diseases around the citrus trees according to the evaluation data, and generates a corresponding optimization strategy plan based on the adjustment data. The user can view the optimization strategy plan after logging into the comprehensive monitoring platform.

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