Swarnabha Mandal
Papers
1
Total Citations
4
H-Index
1
About
Swarnabha Mandal is a researcher at the forefront of agricultural robotics and embedded systems, with a focus on developing low-cost, energy-efficient autonomous solutions. His most-cited work, “A Proposal of FPGA-Based Low Cost and Power Efficient Autonomous Fruit Harvester” (2020), integrates computer vision, deep learning, and a novel end-effector design to create a prototype capable of fruit detection, odometry, localization, and precise plucking. This paper, with 4 citations, showcases his commitment to making precision agriculture accessible through hardware-software co-design. Mandal’s contributions lie in bridging field robotics with FPGA-based control, reducing power consumption while maintaining real-time performance—a critical step toward scalable harvesting in resource-constrained settings. His research not only addresses labor shortages in agriculture but also demonstrates how embedded AI can transform traditional farming. By combining practical engineering with cutting-edge machine learning, Mandal’s work inspires future innovations in autonomous systems, offering a blueprint for sustainable, low-cost agricultural automation.
Research Focus
Key Achievements
Top Papers
- 1