Hara Prasada Tripathy
Papers
2
Total Citations
31
H-Index
2
About
Hara Prasada Tripathy is an emerging researcher at the intersection of agricultural technology, robotics, and precision farming, with a particular focus on revolutionizing weed management practices in crop production. His work addresses one of agriculture's most persistent challenges — the inefficient and costly application of herbicides — by developing intelligent, automated solutions that minimize chemical use while maximizing precision. Tripathy's most notable contribution is a smart robotic system guided by the YOLOv5 machine learning framework, designed specifically for rice cultivation under precision agriculture conditions. This innovative work, which has already garnered 19 citations since its 2025 publication, demonstrates how cutting-edge computer vision and deep learning can be seamlessly integrated into field robotics to deliver targeted herbicide application. His earlier 2021 review, "Robotics in Weed Management: A New Paradigm in Agriculture," with 12 citations, established the conceptual and technological groundwork for this direction, surveying how artificial intelligence-driven robots can replace labor-intensive and imprecise conventional methods. Collectively, Tripathy's research signals a meaningful shift toward sustainable, technology-driven farming. His contributions are increasingly relevant to students and researchers exploring the future of food security, autonomous agricultural systems, and environmentally responsible crop management.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robotics in Weed Management: A New Paradigm in Agriculture12 citations · 2021