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Design of Vision Measurement Device for Seeding Robot based on Ant Colony Algorithm and Nonlinear Circuit System
Abstract
In order to solve the problem of low efficiency and accuracy in the control process of seeding robot, a vision measurement device based on ant colony algorithm and nonlinear circuit system is proposed in this paper. By scanning the trunks areas, border crossing points of the bottom of the tree and ground were detected, and these points were divided into two clusters on both sides based on neighbouring relationship. The simulation result is compared with artificial recognition in a two-orchard environment. The result shows that the proposed method is reliable, safe and can satisfy the moving request of seeding robot.
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