Crop disease and pest early warning method based on artificial intelligence

Through a closed-loop system with intelligent monitoring, analysis and feedback optimization, the problems of insufficient multi-modal fusion of pest and disease monitoring and early warning data in the existing technology and dynamic adjustment of early warning solutions are solved, and multi-dimensional quantitative analysis and accurate early warning of crop pests and diseases are realized.

CN120338213AActive Publication Date: 2025-07-18FUJIAN LIUSAN SEEDS CO LTD
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Patent Information

Application Number
CN202510822395.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-19
Publication Date
2025-07-18
Estimated Expiration
2045-06-19

AI Technical Summary

Technical Problem

The existing crop pest and disease monitoring and early warning technology lacks real-time dynamic monitoring of crop physiological status and pest and disease characteristics. The data multimodal characteristics fusion depth is insufficient, making it difficult to achieve accurate quantification of risks under the synergy of multiple factors. The early warning plan cannot be dynamically adjusted, resulting in limited accuracy and timeliness of early warning results.

Method used

Using artificial intelligence-based crop pest and disease warning methods, multi-dimensional environmental data is collected through intelligent monitoring terminals, data processing terminals perform pre-processing, intelligent analysis terminals perform multi-modal feature fusion analysis, generate pest and disease risk index, early warning decision-making terminals trigger multi-level early warning, feedback verification terminals dynamically update model parameters, and form closed-loop optimization.

Benefits of technology

Multi-dimensional and quantitative analysis of pest and disease risks has been achieved, accurate customized early warning plans have been generated, and the targetedness and effectiveness of prevention and control measures have been improved, and the changes in different farmland environments and prevention and control needs have been adapted to changes.

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Abstract

The invention discloses a crop disease and insect pest early warning method based on artificial intelligence, and relates to the technical field of artificial intelligence, and the method comprises the steps: carrying out the multi-modal feature fusion analysis of a standardized training data set through an intelligent analysis terminal, and obtaining a meteorological sensitivity coefficient, a crop resistance coefficient and a disease and insect pest outbreak probability coefficient; inputting the three coefficients into a pest and disease risk quantification model, and outputting a pest and disease risk index; the early warning decision terminal triggers a multi-stage early warning rule according to the pest risk index, and generates a customized early warning scheme containing emergency measure suggestions; and the feedback verification terminal receives feedback data after the user implements the prevention and control measures, and dynamically updates the model parameters. According to the invention, the early warning decision terminal triggers the multi-stage early warning rule according to the disease and insect pest risk index, and generates the customized early warning scheme containing the emergency measure suggestion, thereby achieving the graded response and precise implementation of disease and insect pest early warning, and improving the pertinence and effectiveness of prevention and control measures.
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