A. Geetha
Papers
1
Total Citations
4
H-Index
1
About
Dr. A. Geetha is a researcher specializing in the intersection of computer vision and agriculture, with a primary focus on developing intelligent systems for plant and produce recognition. Her work leverages deep learning, particularly Convolutional Neural Networks (CNNs), to automate the identification and classification of fruits, vegetables, and other plant parts. Her most cited review, "Fruits, Vegetable and Plants Category Recognition Systems Using Convolutional Neural Networks: A Review" (2019, 4 citations), provides a comprehensive survey of the methods and systems employed in this domain, highlighting how deep learning algorithms have become the current trend in agricultural computer vision applications. This foundational work serves as a key resource for researchers seeking to understand the state-of-the-art in automated plant recognition, from entire species identification to the grading of individual produce items. By synthesizing existing approaches, Dr. Geetha’s review helps guide future innovations in precision agriculture, crop monitoring, and supply chain automation. Her contributions are particularly valuable for students and researchers exploring how AI can transform traditional farming practices into data-driven, efficient systems.
Research Focus
Key Achievements
Top Papers
- 1