Prasanta Das
Papers
1
Total Citations
2
H-Index
1
About
Dr. Prasanta Das is a researcher at the forefront of agricultural robotics and precision farming, with a specialized focus on integrating deep learning into automated harvesting systems. His work addresses critical challenges in the apple industry of Kashmir, India, where efficient harvesting directly impacts regional economic productivity and fruit quality. Das’s most notable contribution is his development of a novel apple detection approach using the YOLOv8 deep learning algorithm, designed specifically for the unique conditions of Kashmir orchards. This work, published in 2023, lays the groundwork for intelligent apple harvester robots, demonstrating how computer vision can overcome obstacles like variable lighting and occluded fruit. While his research is still gaining traction, with 2 citations to date, its practical, region-specific application highlights his commitment to solving real-world agricultural problems. By bridging the gap between advanced AI and traditional farming, Dr. Das is pioneering solutions that promise to enhance efficiency, reduce labor dependency, and improve fruit quality in one of India’s most vital horticultural sectors.
Research Focus
Key Achievements
Top Papers
- 1