Shivam K Panda
Papers
2
Total Citations
38
H-Index
2
About
Shivam K. Panda is an emerging researcher at the intersection of agricultural robotics, computer vision, and autonomous systems. His work focuses on developing intelligent navigation frameworks that enable robots and autonomous vehicles to operate effectively in complex, unstructured agricultural environments — a challenge that sits at the frontier of both artificial intelligence and precision farming. Panda's most notable contribution is the **AgroNav** framework, a vision-based autonomous navigation system that leverages semantic segmentation and semantic line detection to guide agricultural robots through crop fields. By accurately identifying key scene components and detecting boundary lines between crop rows and traversable paths, AgroNav addresses one of the most persistent challenges in agricultural automation. The framework has garnered approximately 38 citations since its 2023 publication, a strong indicator of its relevance and impact within a competitive and rapidly evolving field. His research speaks directly to the global demand for scalable, intelligent farming solutions capable of reducing labor dependency while improving efficiency. For students and researchers exploring agricultural AI, robotics, or autonomous navigation, Panda's work represents a rigorous and practical foundation, demonstrating how deep learning techniques can be meaningfully applied to real-world agricultural challenges.
Research Focus
Key Achievements
Top Papers
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- 2