Papers
1
Total Citations
9
H-Index
1
About
D. Vishnu’s research centers on the intersection of deep learning, the Internet of Things (IoT), and precision agriculture, with a focus on developing intelligent systems for farming automation. His most cited work, “Detection and Recognition of Species using Deep Convolution Neural Network” (2022, 9 citations), explores the use of Deep Neural Networks and IoT to enable fine-grained monitoring, control, and tracking in agricultural environments. This paper addresses the challenge of managing complex relationships between sensors, devices, and biological systems, aiming to improve efficiency in crop and species management. Although the paper has been retracted, it reflects Vishnu’s early contributions to applying convolutional neural networks for real-world detection tasks. His work contributes to the broader goal of integrating AI-driven perception with IoT infrastructure to support sustainable, data-driven farming. For students and researchers interested in the practical deployment of deep learning in agriculture, Vishnu’s research offers a glimpse into the technical challenges and opportunities at the nexus of computer vision and smart farming.
Research Focus
Key Achievements
Top Papers
- 1