T. Daniya
Papers
2
Total Citations
15
H-Index
2
About
T. Daniya is a researcher at the forefront of applying artificial intelligence and machine learning to critical challenges in precision agriculture. Her work focuses on developing intelligent sensing and recognition systems to enhance crop health and yield, particularly in the context of Indian agriculture. A key contribution is her framework for automated weed detection, which uses image processing and machine learning algorithms to identify and manage weeds in agricultural fields, offering a data-driven alternative to manual or blanket herbicide application. This work has garnered 8 citations. She has also made significant strides in plant pathology with a sensing recognition strategy for detecting rice plant diseases using artificial intelligence. This research addresses the severe threat that rice infections pose to food security in major rice-producing nations like India, and has been cited 7 times. By pioneering these AI-driven diagnostic tools, Daniya is helping to equip farmers with rapid, accurate methods for crop monitoring, paving the way for more sustainable and productive farming practices.
Research Focus
Key Achievements
Top Papers
- 1
- 2