Papers
1
Total Citations
8
H-Index
1
About
Ms. Jyothi is a rising researcher at the intersection of artificial intelligence, the Internet of Things, and smart agriculture. Her work focuses on leveraging AI-driven robotics and IoT sensor networks to solve pressing challenges in modern farming, particularly in crop health monitoring. Her most cited paper, "AI-based Leaf Disease Identification Robot using IoT Approach" (2023), has garnered 8 citations and introduces an innovative system that combines computer vision with autonomous robotics to detect leaf diseases in real time. This contribution addresses the critical need for precision agriculture, enabling early intervention to reduce crop loss and minimize pesticide overuse. By integrating actuators and sensors into a cohesive IoT framework, Ms. Jyothi’s research offers a scalable, cost-effective solution for farmers facing the complexities of sustainable cultivation. Her work stands out for its practical application of cutting-edge technology to agronomy, demonstrating how AI can transform traditional practices. As an emerging voice in agri-tech, Ms. Jyothi’s contributions are paving the way for smarter, data-driven farming systems that promise to enhance global food security.
Research Focus
Key Achievements
Top Papers
- 1AI-based Leaf Disease Identification Robot using IoT Approach8 citations · 2023