Intelligent monitoring system for prevention and control of diseases and insect pests for bean planting

By integrating multispectral and temporal information, an intelligent monitoring system for pest and disease control has been developed. Utilizing multispectral image sensors and weakly supervised learning, it has achieved accurate identification and early warning of early-stage pests and diseases in legume crops. This system solves the problem of extracting pest and disease features in complex environments, reduces data labeling costs, and improves identification accuracy and reliability.

CN121190982APending Publication Date: 2025-12-23ZHENGFA BREEDING & BREEDING PROFESSIONAL COOP IN HUANGZHONG DISTRICT XINING CITY
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Patent Information

Application Number
CN202511380522.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-25
Publication Date
2025-12-23

AI Technical Summary

Technical Problem

Existing technologies struggle to effectively identify and extract early pest and disease characteristics in legume crops under complex field conditions. Traditional image processing methods, with their low signal-to-noise ratio and insufficient domain adaptability, fail to achieve high-precision identification, leading to problems such as indiscriminate pesticide application.

Method used

By fusing multispectral and temporal information, data is simultaneously collected using RGB and multispectral image sensors, and registration is performed using a feature point matching algorithm. The disease-sensitive spectral index (DSI) and the Mann-Kendall trend test are used to detect changes in spectral features. By combining weakly supervised learning and multi-instance learning models, suspected lesion areas are automatically located, and finally, a warning signal is generated through multi-source decision-making.

Benefits of technology

It enables very early and accurate identification and warning of diseases and pests in legume crops, reduces the reliance on expensive pixel-level annotation data, outputs high-confidence warning signals, avoids blind application of pesticides, and protects crop health and yield.

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Abstract

The invention relates to an intelligent monitoring system for prevention and control of diseases and insect pests for bean planting, in particular to the field of intelligent monitoring of prevention and control of agricultural diseases and insect pests, and can realize extremely early precise recognition and early warning of diseases and insect pests of bean crops. The weak lesion spectral features and the continuous deterioration trend of the plant can be sensitively captured in a stage which is difficult to perceive by naked eyes, real diseases and environmental interference are effectively distinguished, the system can automatically locate a suspicious lesion area by using a weak supervised learning mechanism and only needing image-level labeling, the dependence on expensive pixel-level labeling data is greatly reduced, and the accuracy of the system is improved. Finally, a high-confidence early warning signal is output through multi-source information collaborative decision, a scientific basis is provided for accurate and green prevention and control, blind pesticide application is effectively avoided, and crop health and yield are guaranteed.
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