Mechanical claw yellow leaf removing control method and system based on artificial intelligence

By using an AI-based robotic gripper to remove yellow leaves, and leveraging multispectral vision sensors and image processing technology, the system achieves accurate identification and safe removal of yellow leaves. This solves the problem of insufficient adaptive correction in existing systems and improves the safety and success rate of the operation.

CN121600472AActive Publication Date: 2026-03-03HUNAN AGRI UNIV

Patent Information

Application Number
CN202610116057.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-28
Publication Date
2026-03-03
Estimated Expiration
2046-01-28

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Abstract

The invention provides a mechanical claw yellow leaf removal control method and system based on artificial intelligence, and relates to the technical field of image processing, and the method comprises the steps: obtaining a fusion image of a target region; performing region segmentation based on the fused image to obtain a first region, a second region and a third region; extracting a contour boundary and a center line skeleton based on the first region; determining an outward expanding normal direction based on the contour boundary, the center line skeleton and the third region and generating a fourth region, generating a first proportion according to the fourth region and the second region, determining a first evaluation result based on the first proportion, and determining a target body according to the first evaluation result; and performing a stripping operation based on the target body. And if the first evaluation result is a first positive evaluation result, analyzing the distribution characteristics of a shielding part formed by the intersection of the fourth region and the second region in the space so as to identify a specific obstacle type.
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Citation Information

Patent Citations

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