P. Vetrivelan
Papers
1
Total Citations
10
H-Index
1
About
P. Vetrivelan is a researcher at the forefront of agricultural automation and intelligent systems, with a primary focus on integrating neural networks and sensor technologies to revolutionize farming practices. His most cited work, "A Neural Network-Based Automatic Crop Monitoring Robot for Agriculture" (2019), which has garnered 10 citations, proposes an innovative automatic irrigation method that leverages soil moisture sensors to replace manual irrigation processes. This contribution addresses the critical need for reliable, data-driven solutions in agriculture, directly supporting economic sustainability by optimizing water usage and crop health monitoring. Vetrivelan’s research bridges the gap between traditional farming and modern robotics, emphasizing practical, cost-effective automation. His work is particularly notable for its focus on real-world implementation, offering a scalable model for precision agriculture. By combining neural network algorithms with robotic monitoring, Vetrivelan has laid groundwork for smarter, more efficient agricultural systems, making his research highly relevant for students and engineers exploring the intersection of AI, robotics, and sustainable farming.
Research Focus
Key Achievements
Top Papers
- 1A Neural Network-Based Automatic Crop Monitoring Robot for Agriculture10 citations · 2019