Devata Anekar
Papers
1
Total Citations
2
H-Index
1
About
Devata Anekar is a researcher at the forefront of integrating artificial intelligence with sustainable agriculture. Her work primarily focuses on leveraging Internet of Things (IoT) sensors and machine learning algorithms to address critical challenges in crop management. Anekar’s most notable contribution is her pioneering study on weed management, which introduces a novel system for the automated detection and classification of weeds in agricultural fields. By distinguishing between harmful and beneficial plant growth, her approach aims to reduce production costs and minimize crop yield loss—a persistent issue for farmers worldwide. Her 2024 paper, "A Study of Weed Management in Agricultural Plants using IoT and Machine Learning," has already garnered attention within the precision agriculture community. While her citation count is currently modest, the practical implications of her work are significant, promising more efficient, data-driven farming practices. Anekar’s research represents a vital step toward smarter, more resilient agricultural systems, making her a promising voice in the intersection of technology and environmental stewardship.
Research Focus
Key Achievements
Top Papers
- 1