Amlan Balabantaray

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About

Amlan Balabantaray is a pioneering researcher at the intersection of agricultural robotics and artificial intelligence, dedicated to advancing precision and sustainability in weed management. His work centers on developing intelligent, automated systems for targeted crop protection, with a particular focus on combating invasive species like Palmer amaranth. Balabantaray’s most notable contribution is his 2024 study integrating the YOLOv7 deep learning model with robotic platforms for real-time weed detection and selective herbicide application. This research, which has already garnered 14 citations, demonstrates a significant leap beyond traditional broadcast spraying, offering a data-driven approach that reduces chemical usage and minimizes environmental harm. By combining computer vision with autonomous navigation, his work provides a scalable solution to one of agriculture’s most pressing challenges: effective, sustainable weed control. Balabantaray’s innovations are not only advancing academic knowledge but also paving the way for practical, eco-friendly farming technologies, marking him as a key figure in the next generation of agri-tech research.