N. Senthilvel
Papers
1
Total Citations
12
H-Index
1
About
N. Senthilvel is a researcher at the forefront of integrating artificial intelligence with the Internet of Things to revolutionize agricultural technology. His primary research focuses on developing intelligent systems for precision agriculture, particularly in disease detection and crop health monitoring. Senthilvel's most notable contribution is the AI-FDIS (Artificial Intelligence-based Fruit Disease Identification System), which combines IoT sensors with machine learning algorithms to monitor fruit quality, volume, and development in real-time. This system enables early detection of diseases during active growth phases, allowing farmers to intervene before significant crop damage occurs. With his 2023 paper on this topic accumulating 12 citations, Senthilvel's work demonstrates practical applications that can safeguard agricultural productivity and optimize harvest timing. His research addresses the critical challenge of protecting crops from diseases while they are most vulnerable, offering a technological solution that promises to enhance food security and reduce agricultural losses. Through his innovative fusion of AI and IoT, Senthilvel is helping to usher in a new era of smart, data-driven farming practices.
Research Focus
Key Achievements
Top Papers
- 1