Published Paper Details:

The integration of autonomous electric vehicles in agriculture presents a promising avenue to address sustainability and labor challenges in modern farming. This review paper explores the development of an EV Tractor "Agribot" designed to operate autonomously for harvesting and weeding in specified land dimensions. It discusses the evolution of autonomous agricultural systems, highlighting recent advancements in electric tractor technology, AI-powered weed detection using convolutional neural networks (CNN), and user interface designs for seamless operation. The proposed model combines electric propulsion with intelligent navigation and real-time weed detection, aiming to reduce environmental impact and operational costs while enhancing productivity. By synthesizing existing research and proposing an integrated system tailored for small to medium-sized farms, this review underscores the potential of autonomous EV tractors as a transformative solution in precision agriculture