Niraj Tamrakar
Papers
3
Total Citations
46
H-Index
3
About
Niraj Tamrakar is a rising researcher at the forefront of agricultural robotics and smart farming, with a focus on leveraging computer vision and digital twin technologies to revolutionize food production. His work directly addresses the urgent need for sustainable, high-efficiency farming methods in the face of climate change-induced food insecurity. Tamrakar’s major contributions include developing lightweight, high-accuracy deep learning models for fruit detection and harvesting. Notably, his "Lightweight Improved YOLOv5s-CGhostnet" algorithm (15 citations) enables efficient strawberry maturity detection for harvesting robots, while his "DF-Mask R-CNN" approach (7 citations) provides precise peduncle localization for damage-free picking. His visionary paper "From Reality to Virtuality" (24 citations) explores how digital twins can transform livestock farming, showcasing his ability to conceptualize and implement advanced, integrated solutions. With a growing citation count and a clear trajectory toward practical, deployable agricultural AI, Tamrakar is establishing himself as a key innovator in the intersection of robotics, deep learning, and precision agriculture.
Research Focus
Key Achievements
Top Papers
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