C Senthilkumar
Papers
1
Total Citations
11
H-Index
1
About
C Senthilkumar is a researcher at the forefront of applying deep learning to agricultural challenges, with a primary focus on plant disease detection and classification. His most notable contribution is the development of an innovative framework for the accurate prediction and classification of corn leaf disease, leveraging the Adaptive Moment Estimation (Adam) optimizer within deep learning networks. This work, published in 2022 and garnering 11 citations, demonstrates his expertise in optimizing neural network training to enhance diagnostic precision, directly addressing critical food security issues. By integrating advanced optimization techniques with convolutional neural networks, Senthilkumar has provided a scalable, non-invasive solution for early disease identification in crops, reducing reliance on manual inspection. His research bridges the gap between artificial intelligence and precision agriculture, offering practical tools for farmers and agronomists. With a growing citation impact, his work is recognized for its potential to transform crop management practices, making him a key contributor to the field of agricultural AI.
Research Focus
Key Achievements
Top Papers
- 1