Sushant Bawiskar

Vellore Institute of Technology University

Papers

Total Citations

H-Index

About

Sushant Bawiskar is a researcher at the forefront of applying computer vision and image processing to modern agriculture. His work centers on the development of autonomous farming systems, where he explores how visual data can be harnessed to monitor crop health, detect pests, and optimize resource use. His most-cited paper, "Autonomous Farming—Visualization of Image Processing in Agriculture" (2020), demonstrates the practical integration of machine learning and sensor technology to create smarter, more efficient farming practices. This foundational work has garnered early recognition, with 5 citations, signaling its growing influence in the intersection of agritech and artificial intelligence. Bawiskar’s contributions are particularly notable for bridging the gap between complex computational methods and real-world agricultural challenges, making precision farming more accessible to small and large-scale operations alike. His research not only advances the field of agricultural automation but also addresses critical global issues like food security and sustainable farming. As a rising voice in this interdisciplinary domain, Bawiskar continues to inspire students and researchers to explore how technology can transform traditional industries.