Agriculture pesticide spraying robot

Abstract: This project involves designing and developing an autonomous robot for pesticide spraying in agriculture, aiming to enhance both the efficiency and precision of pesticide application. Traditional spraying methods can lead to uneven coverage and excessive chemical use, causing environmental harm and health risks. The proposed robot will leverage advanced machine learning algorithms to accurately identify and treat specific areas, reducing waste and optimizing coverage. The robot’s effectiveness will be evaluated through field tests, focusing on its precision, efficiency, and overall impact on crop health and yield

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