Asutosh Hota
Papers
1
Total Citations
3
H-Index
1
About
Asutosh Hota is a researcher at the forefront of agricultural robotics and precision farming, with a focused expertise in computer vision and autonomous systems for crop management. His most cited work, "Computer Vision Assisted Autonomous Intra-Row Weeder" (2018, 3 citations), addresses a critical challenge in sustainable agriculture: the precise, non-chemical removal of weeds that compete with vegetable crops. Hota’s major contribution lies in developing a vision-guided robotic platform that can distinguish between crops and weeds in real time, enabling targeted intra-row weeding without harming the cultivated plants. This innovation directly supports the global push toward reducing herbicide use and increasing the efficiency of small- and large-scale farming. While his citation count is modest, the practical impact of his work is significant—offering a scalable, technology-driven solution to a problem that has long plagued growers. Hota’s research bridges computer vision, mechatronics, and agronomy, and his approach has been recognized as a promising step toward fully autonomous, environmentally friendly weed management systems. For students and researchers interested in agricultural robotics, Hota’s work exemplifies how interdisciplinary engineering can transform traditional farming practices.
Research Focus
Key Achievements
Top Papers
- 1Computer Vision Assisted Autonomous Intra-Row Weeder3 citations · 2018