Nibas Chandra Deb
Papers
3
Total Citations
46
H-Index
3
About
Nibas Chandra Deb is a rising researcher at the forefront of agricultural technology, specializing in the integration of computer vision, deep learning, and digital twin systems to revolutionize smart farming. His work primarily focuses on developing intelligent solutions for precision agriculture, with a particular emphasis on robotic harvesting and livestock management. Deb's most impactful contribution is his pioneering exploration of digital twins in livestock farming, detailed in his 2024 paper "From Reality to Virtuality," which has already garnered 24 citations and addresses the critical challenge of climate-induced food insecurity through progressive smart farming methodologies. He has also made significant strides in strawberry harvesting automation, developing lightweight detection algorithms like the improved YOLOv5s-CGhostnet (15 citations) for accurate maturity level assessment and fruit counting, as well as the DF-Mask R-CNN approach for precise peduncle detection and picking point localization (7 citations). These innovations are essential for enabling harvesting robots to operate efficiently without damaging delicate produce. Through his work, Deb is actively contributing to the transformation of conventional agriculture into a more sustainable, technology-driven industry.
Research Focus
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Top Papers
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