V. K. Vishnukanth
Papers
1
Total Citations
9
H-Index
1
About
V. K. Vishnukanth is a researcher whose work sits at the intersection of artificial intelligence and agricultural technology, with a particular focus on deep learning applications for precision farming. His most cited paper, "Detection and Recognition of Species using Deep Convolution Neural Network" (2022), has garnered 9 citations and explores the integration of Deep Neural Networks (DNN) and the Internet of Things (IoT) to develop fine-grained monitoring, control, and tracking systems for agricultural robotization. This work addresses the critical challenge of automating species identification, a key component in modern smart farming. Vishnukanth's research contributes to the broader goal of leveraging AI to enhance agricultural efficiency and sustainability, though it is important to note that this paper has been retracted. Despite this, his investigations into the synergy between DNN and IoT for real-time agricultural applications highlight his engagement with cutting-edge technologies. For students and researchers interested in the practical deployment of AI in agriculture, Vishnukanth's work offers insights into both the potential and the pitfalls of applying deep learning to real-world farming challenges.
Research Focus
Key Achievements
Top Papers
- 1