Pradeep Nahak
Papers
1
Total Citations
2
H-Index
1
About
Pradeep Nahak is a researcher at the forefront of agricultural robotics and intelligent vision systems, with a focus on leveraging deep learning for precision farming. 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 real-time, automated disease detection for agricultural robots. This approach bridges the gap between advanced AI and practical, deployable hardware, enabling early and accurate identification of crop diseases. While his citation count is still growing—reflecting the emerging nature of his field—his work lays a critical foundation for reducing pesticide use and improving yield through non-invasive monitoring. By combining computer vision with robotic control, Nahak addresses a pressing need in sustainable agriculture. His research is particularly notable for its hands-on, systems-level perspective, which is essential for translating lab-based AI models into field-ready solutions. As precision agriculture expands, Nahak’s contributions are poised to influence both academic research and real-world farming practices.
Research Focus
Key Achievements
Top Papers
- 1