S.K. Kabilesh
Papers
1
Total Citations
12
H-Index
1
About
S.K. Kabilesh is an emerging researcher at the intersection of artificial intelligence, the Internet of Things, and precision agriculture. His primary research focus is on developing intelligent systems for agricultural monitoring and disease detection, with a particular emphasis on integrating AI with IoT technologies to solve real-world farming challenges. His most cited work, "Research on Artificial Intelligence based Fruit Disease Identification System (AI-FDIS) with the Internet of Things (IoT)" (2023), has garnered 12 citations, demonstrating growing interest in his approach to early disease detection in fruit crops. In this study, Kabilesh addresses the critical challenge of monitoring fruit quality and development throughout the growing cycle, proposing a system that enables early intervention to protect crops and enhance agricultural productivity. By combining computer vision, machine learning, and sensor networks, his work contributes to the broader goal of smart farming and sustainable food production. As a researcher, Kabilesh represents a new generation of technologists applying cutting-edge AI and IoT solutions to age-old agricultural problems, with his work laying important groundwork for future innovations in crop health monitoring and precision agriculture.
Research Focus
Key Achievements
Top Papers
- 1