Weed Control

Weed control research focuses on developing automated, precise methods to reduce herbicide use and improve environmental outcomes. Current efforts center on robotic systems employing computer vision, often incorporating deep learning algorithms for weed identification and targeted herbicide application (spot spraying) or mechanical removal. These advancements aim to optimize herbicide use, minimize environmental impact through reduced runoff, and enhance the efficiency and sustainability of agricultural practices. The resulting technologies promise significant benefits for farmers, including cost savings and improved crop yields.