T. Gunasekar
Papers
1
Total Citations
12
H-Index
1
About
Dr. T. Gunasekar is a leading researcher at the intersection of artificial intelligence and agricultural technology, with a primary focus on developing intelligent systems for crop and fruit disease management. His most impactful work, "Research on Artificial Intelligence based Fruit Disease Identification System (AI-FDIS) with the Internet of Things (IoT)," has garnered 12 citations and represents a significant advance in precision agriculture. This study integrates IoT sensor networks with AI-driven image analysis to monitor fruit quality, volume, and developmental stages in real time, enabling early disease detection during critical growth phases. By addressing the vulnerability of actively growing fruits to pathogens, Dr. Gunasekar’s system offers a practical solution for safeguarding yields and optimizing harvest timing. His contributions bridge the gap between computational intelligence and field-based agricultural challenges, demonstrating how deep learning models can be deployed on resource-constrained IoT devices for continuous plantation surveillance. This work not only enhances productivity but also reduces reliance on chemical interventions, promoting sustainable farming practices. Dr. Gunasekar’s research continues to inspire innovations in smart agriculture, making him a key figure in the development of AI-driven food security solutions.
Research Focus
Key Achievements
Top Papers
- 1