Angshuman Chakraborty
Papers
1
Total Citations
2
H-Index
1
About
Dr. Angshuman Chakraborty is a pioneering researcher at the intersection of agricultural robotics and deep learning, with a focused expertise in precision horticulture. His most notable contribution is the development of a real-time apple detection system for Kashmir orchards, integrating the state-of-the-art YOLOv8 algorithm to enable automated harvesting by robotic platforms. This work, published in 2023, directly addresses a critical bottleneck in the region’s apple industry—efficient, non-destructive fruit picking—by achieving high detection accuracy under complex orchard conditions. With 2 citations to date, this foundational paper is gaining traction as a key reference for researchers in agricultural automation and computer vision. Dr. Chakraborty’s research bridges the gap between advanced AI and practical agricultural challenges, offering scalable solutions for crop monitoring and robotic harvesting. His work not only enhances productivity and fruit quality but also reduces labor dependency in mountainous terrains. For students and researchers, his approach exemplifies how deep learning can be tailored to solve real-world problems in niche, economically vital sectors.
Research Focus
Key Achievements
Top Papers
- 1