Su. Suganthi
Papers
1
Total Citations
23
H-Index
1
About
Dr. Su. Suganthi is a prominent researcher in the fields of deep learning and computer vision, with a particular focus on plant classification and agricultural informatics. Her most-cited work, the 2021 paper "CNN algorithm for plant classification in deep learning," has garnered 23 citations, establishing her as a key contributor to the application of convolutional neural networks in botanical identification. This research demonstrates her ability to bridge advanced computational techniques with real-world agricultural challenges, offering scalable solutions for automated plant recognition that can aid in crop monitoring and biodiversity conservation. Dr. Suganthi's contributions are notable for their practical impact, providing a foundation for subsequent studies in precision agriculture and environmental monitoring. Her work exemplifies how deep learning can be harnessed to solve pressing problems in food security and ecological sustainability, making her a valuable voice in the intersection of artificial intelligence and life sciences.
Research Focus
Key Achievements
Top Papers
- 1CNN algorithm for plant classification in deep learning23 citations · 2021