AI-Powered Autonomous Tractors for Precision Farming

R. Sivaramakrishnan, S. Ilavarasi, Ravi Samikannu, Raguvaran S., Nyagong Santino David Ladu

Abstract


AI-powered autonomous tractors are revolutionizing precision farming by enhancing operational efficiency and reducing labor costs. This paper explores the advancements in autonomous tractor technology, focusing on AI algorithms for navigation, crop monitoring, and real-time data analysis. By examining case studies, the paper highlights the benefits of using autonomous tractors in precision agriculture, including increased productivity, improved soil health, and reduced environmental impact. Additionally, the challenges of implementing autonomous systems in diverse agricultural settings are discussed, along with future prospects for AI in farming.

Keywords


AI, autonomous tractors, precision farming, agriculture.

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