A method and system for controlling leaf-eating pests of litchi and longan based on intelligent identification

Through intelligent identification technology, real-time monitoring and analysis of pests in lychee and longan orchards, personalized control plans are formulated, and the accuracy and environmental impact of traditional prevention and control methods are solved, and efficient and low-cost fruit tree pest management is achieved.

CN118196623BActive Publication Date: 2025-01-03PLANT PROTECTION RES INST OF GUANGDONG ACADEMY OF AGRI SCI +2
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Patent Information

Application Number
CN202410288987.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-03-14
Publication Date
2025-01-03
Estimated Expiration
2044-03-14

AI Technical Summary

Technical Problem

The traditional lychee and longan leaf pest control methods have high labor costs and inaccurate spraying, which causes pollution to the environment and makes it difficult to achieve accurate monitoring and prevention.

Method used

Intelligent recognition technology is used to divide the orchard into sub-regions, and pest feature information is obtained through real-time image recognition, knowledge graphs are imported to calculate the pest outbreak rate, and the area is marked according to the threshold value, and the optimal control period and plan are formulated for prevention and control processing.

Benefits of technology

It improves the accuracy and efficiency of prevention and control, reduces costs, reduces the impact on the environment, provides scientific decision-making support for orchard management, and promotes the healthy growth of fruit trees and increases production and income.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention relates to the field of pest control technology, in particular to a method and system for controlling leaf-eating pests of lychee and longan based on intelligent identification. A real-time feature parameter combination of a pest sub-region is obtained, and the real-time feature parameter combination of the pest sub-region is imported into a knowledge graph for pairing to obtain the pest outbreak rate of the pest sub-region; if the pest outbreak rate of the pest sub-region is greater than a preset threshold, the pest sub-region is marked as a pest sub-region that needs to be treated for prevention and control; the best prevention and control period of the pest sub-region that needs to be treated for prevention and control is obtained according to the pest outbreak rate and pest type of the pest sub-region that needs to be treated for prevention and control; the best prevention and control plan for the pest sub-region that needs to be treated for prevention and control is obtained according to the pest feature information of the pest sub-region that needs to be treated for prevention and control and the real-time growth parameters of lychee and longan fruit trees. This method can improve the accuracy and efficiency of prevention and control, reduce the cost of prevention and control, and reduce the impact on the environment.
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