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Autonomous Weed Detection and Removal in Quinoa Crops.

About the project

This project develops a modular, AI-enabled laser weeding system for precise, selective, and chemical-free weed management in quinoa cultivation. The system addresses limitations of manual, chemical, mechanical, and row-dependent robotic weeding by enabling targeted weed removal while reducing labor requirements, environmental impact, soil disturbance, and potential crop damage.

Autonomous Weed Detection and Removal in Quinoa Crops.
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