Ch. Vidyadhari
Papers
1
Total Citations
7
H-Index
1
About
Ch. Vidyadhari is a researcher at the forefront of applying artificial intelligence to agricultural challenges, with a primary focus on crop health monitoring and precision farming. Her most cited work, "Rice Plant Disease Detection Using Sensing Recognition Strategy Based on Artificial Intelligence" (2022), addresses a critical issue in India—one of the world’s top rice-producing nations—where crop diseases threaten both food security and economic stability. By developing a sensing recognition strategy powered by AI, Vidyadhari has contributed a scalable, non-invasive method for early and accurate detection of rice plant diseases, enabling timely intervention to prevent widespread crop loss. This work, which has garnered 7 citations, exemplifies her commitment to bridging computational intelligence with real-world agricultural needs. Her research not only advances the field of smart farming but also offers practical tools for farmers and policymakers. Vidyadhari’s contributions highlight the transformative potential of AI in sustainable agriculture, making her a notable voice in the intersection of technology and food security.
Research Focus
Key Achievements
Top Papers
- 1