Atanu Jana
Papers
1
Total Citations
2
H-Index
1
About
Atanu Jana is a researcher at the forefront of agricultural robotics and intelligent vision systems, with a focused expertise in applying deep learning and computer vision to real-world farming challenges. His most cited work, "Study on Vision System for Disease Detection Using CNN and LabVIEW of an Agricultural Robot" (2021), demonstrates his core contribution: integrating convolutional neural networks (CNNs) with LabVIEW to create a practical, automated disease detection system for agricultural robots. This research bridges the gap between advanced AI algorithms and deployable hardware, addressing a critical need for precision agriculture. By designing a vision system capable of identifying plant diseases in real time, Jana’s work directly supports sustainable farming practices and reduced crop loss. While his citation count is currently modest, this foundational paper highlights his innovative approach to combining embedded systems with machine learning—a methodology that holds significant potential for future smart farming applications. Jana’s research is particularly valuable for students and engineers interested in the intersection of robotics, computer vision, and agriculture, offering a clear pathway from theoretical AI models to tangible, field-ready solutions.
Research Focus
Key Achievements
Top Papers
- 1