Yash Patil

Papers

Total Citations

H-Index

About

Yash Patil is a researcher at the intersection of robotics, computer vision, and agricultural technology, with a focus on automating critical industrial and farming processes. His work on "Vision-Based Oxy-Fuel Torch Control for Robotic Metal Cutting" (2023, 3 citations) introduces a novel control scheme that leverages computer vision to automate oxy-fuel torch operations, a key step toward enhancing efficiency and safety in manufacturing and metal recycling. In parallel, his study "A Study of Weed Management in Agricultural Plants using IoT and Machine Learning" (2024, 2 citations) proposes an innovative IoT and ML-driven approach for weed detection and classification, aiming to optimize crop yields and reduce production costs. Though early in his career, Patil’s contributions demonstrate a clear commitment to applying intelligent systems to solve real-world challenges—from heavy industry to sustainable agriculture. His work is particularly notable for bridging the gap between traditional cutting methods and modern automation, as well as for integrating sensor networks with machine learning to address pressing agricultural issues. As his citation counts grow, Patil is emerging as a promising voice in applied robotics and precision agriculture.