Agricultural robot precise pesticide application method and system based on adaptive control

The adaptive control agricultural robot system uses sensors and edge processors to identify the state of agricultural pests, and combines fuzzy algorithms to control the timing and ratio of pesticide application, thus solving the problem of low accuracy in drone pesticide application and realizing the automated management of precision pesticide application and agricultural pest control.

CN122250437APending Publication Date: 2026-06-23HUZHOU VOCATIONAL TECH COLLEGE
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Patent Information

Application Number
CN202610174995.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-02-06
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Existing drone-based pesticide application equipment operates under human control, resulting in low application accuracy and widespread soil and water pollution, failing to achieve precise application and effective pest control.

Method used

An agricultural robot based on adaptive control is used to acquire farmland environment and crop information through a sensor cluster, identify the state of agricultural damage, use an edge processor to identify the agricultural damage state matrix and determine the risk area, and combine fuzzy algorithm to control the timing and ratio of pesticide application to achieve precise pesticide application.

Benefits of technology

It has improved the accuracy of pesticide application to crops, reduced the amount of pesticides used, avoided soil and water pollution, and enabled automated management for early detection and treatment.

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Abstract

The invention relates to the technical field of intelligent crop pesticide application, and discloses an agricultural robot precise pesticide application method and system based on adaptive control, and the method comprises the steps: carrying out the crop agricultural damage state score recognition of a crop information set, obtaining an agricultural damage state matrix, and obtaining an agricultural damage matrix change sequence; identifying a risk area set in the agricultural damage matrix change sequence according to the agricultural damage threshold, and obtaining the total agricultural damage intensity of the risk area set; when the total agricultural damage intensity is larger than a pesticide application threshold value, the spraying suitability degree of the environment information set is recognized; when the spraying suitability is greater than an implementation condition threshold value, performing pesticide type identification on the crop information set to obtain first pesticide configuration information and second pesticide configuration information; performing agricultural damage development trend identification operation on the agricultural damage matrix change sequence to obtain an agricultural damage trend range; and proportioning a first agent according to the first pesticide configuration information and the risk area set, and proportioning a second agent according to the second pesticide configuration information and the agricultural damage trend range. The crop pesticide application accuracy can be improved.
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