Poongodi Manoharan
Papers
1
Total Citations
28
H-Index
1
About
Dr. Poongodi Manoharan is a leading researcher at the intersection of artificial intelligence, edge computing, and precision agriculture. Her work focuses on developing intelligent systems that integrate deep learning with real-time data processing to solve critical challenges in food security and crop health. Her most notable contribution is the PFDI (Precise Fruit Disease Identification) model, a groundbreaking framework that fuses context data with a faster-CNN architecture for deployment in edge computing environments. This model, detailed in her highly cited 2023 paper (28 citations), enables rapid, on-site detection of diseases in delicate crops like citrus fruits, moving diagnostics away from cloud dependency and into the field. By combining computer vision with edge-based data fusion, Dr. Manoharan’s research directly addresses the need for scalable, low-latency agricultural monitoring systems. Her work has significant implications for reducing crop loss and improving yield quality, establishing her as a key voice in applied AI for sustainable agriculture. Her innovative approach continues to inspire new research in smart farming and real-time environmental sensing.
Research Focus
Key Achievements
Top Papers
- 1