D. Mohanapriya
Papers
1
Total Citations
12
H-Index
1
About
D. Mohanapriya is a researcher at the forefront of integrating Artificial Intelligence with the Internet of Things to revolutionize agricultural technology. Her primary research areas include AI-driven disease detection, precision agriculture, and IoT-based monitoring systems for crop management. Her most cited work, "Research on Artificial Intelligence based Fruit Disease Identification System (AI-FDIS) with the Internet of Things (IoT)" (2023, 12 citations), presents a novel framework that combines real-time IoT sensor data with machine learning algorithms to detect fruit diseases at early growth stages. This contribution is critical for safeguarding agricultural productivity, as it enables farmers to monitor fruit quality, volume, and development remotely, ensuring optimal harvest timing. By addressing the vulnerability of fruits to disease during active growth, Mohanapriya’s system offers a proactive solution that reduces crop loss and enhances yield. Her work exemplifies the practical application of AI in sustainable farming, making her a notable figure in the intersection of computer science and agriculture. With a focus on scalable, real-world solutions, her research continues to inspire advancements in smart farming technologies.
Research Focus
Key Achievements
Top Papers
- 1