Puneet Saini

Institute of Management Technology, Delhi Technological University

Papers

Total Citations

H-Index

About

Puneet Saini is an emerging researcher at the intersection of artificial intelligence, robotics, and precision agriculture, with a focused expertise in applying deep learning technologies to real-world agricultural challenges. His work centers on developing intelligent, automated solutions for weed management — a critical problem affecting global crop yields and farming efficiency. Saini's most influential contribution, a 2025 review paper on deep learning applications in weed detection using UAVs and robotic systems, has already garnered 22 citations, signaling strong community interest and recognition of his synthesizing capabilities in this rapidly evolving field. Complementing this, his 2024 study on robotic weed removal demonstrates hands-on technical depth, leveraging the YOLOv5 deep learning model to achieve real-time, high-accuracy weed detection and removal in cotton fields across diverse weed types and controlled environments. Together, these works position Saini as a promising voice in precision agriculture research, bridging the gap between advanced computer vision techniques and practical farming applications. His research holds significant implications for reducing herbicide dependency, lowering labor costs, and advancing sustainable agricultural practices — making him a researcher worth following for anyone interested in the future of smart farming.