G. Valarmathi
Papers
1
Total Citations
23
H-Index
1
About
G. Valarmathi is a researcher whose work bridges the fields of deep learning and agricultural technology, with a particular focus on plant classification. Her most-cited paper, "CNN algorithm for plant classification in deep learning" (2021), has garnered 23 citations, highlighting her contribution to applying convolutional neural networks for automated plant recognition. This work is part of a broader research portfolio that leverages artificial intelligence to solve practical problems in botany and agriculture, aiming to improve efficiency in species identification and crop monitoring. Valarmathi's research demonstrates how deep learning architectures can be optimized for image-based classification tasks, offering scalable solutions for precision agriculture. Her findings are valuable for researchers and students working at the intersection of computer vision and environmental science, providing a foundation for further innovations in smart farming and biodiversity assessment.
Research Focus
Key Achievements
Top Papers
- 1CNN algorithm for plant classification in deep learning23 citations · 2021