Srivalli Devi S
Papers
1
Total Citations
4
H-Index
1
About
Srivalli Devi S is a researcher whose work lies at the intersection of computer vision and agricultural technology, with a primary focus on developing intelligent recognition systems for fruits, vegetables, and plants. Her most-cited paper, "Fruits, Vegetable and Plants Category Recognition Systems Using Convolutional Neural Networks: A Review" (2019, 4 citations), provides a comprehensive survey of deep learning methodologies—particularly Convolutional Neural Networks (CNNs)—applied to agricultural identification tasks. This review critically examines the systems and techniques used to recognize plant parts and entire plants, highlighting how deep learning algorithms have become the dominant approach in agricultural computer vision. By synthesizing current trends and methods, her work serves as a foundational resource for researchers and practitioners seeking to implement automated plant recognition systems. Srivalli Devi S's contributions are particularly valuable in an era where precision agriculture and automated crop monitoring are increasingly important for food security and sustainable farming. Her research helps bridge the gap between advanced AI techniques and practical agricultural applications, making her a notable voice in the growing field of deep learning-driven agricultural technology.
Research Focus
Key Achievements
Top Papers
- 1