ENERGY-EFFICIENT AND INTELLIGENT AUTONOMOUS SPRAYING ROBOT FOR PRECISION AGRICULTURE USING SOLAR POWER AND FUZZY LOGIC

Abstract

This article presents the development of a solar-powered intelligent pesticide spraying robot, designed to enhance environmental sustainability in precision agriculture. By integrating renewable energy with intelligent decision-making, the system significantly reduces reliance on fossil fuels and minimizes pesticide overuse. The robot is powered by a solar panel with adjustable tilt for optimal energy harvesting and incorporates a lead-acid battery for energy storage to maintain continuous operation. A water pump and DC motors facilitate mobility and spraying functions. The integration of fuzzy logic allows for adaptive, real-time decisions based on environmental parameters, ensuring precise and efficient pesticide application. Field trials across different weather conditions demonstrated superior performance in unshaded environments, with battery limitations noted during extended cloudy periods. This study underscores the environmental advantages of clean energy and intelligent control, and recommends future integration of Internet of Things (IoT) technologies and battery upgrades to further improve operational sustainability and field autonomy.