S. Annadurai

Papers

Total Citations

126

H-Index

About

S. Annadurai is a leading researcher in agricultural robotics and intelligent systems, with a focus on precision farming and weed management. His most influential work, "Weed detecting robot in sugarcane fields using fuzzy real time classifier" (2017), has garnered 126 citations, showcasing its impact on automating crop monitoring. Annadurai’s key contributions lie in developing fuzzy logic-based real-time classification algorithms that enable robots to distinguish between crops and weeds, significantly reducing herbicide use and labor in sugarcane cultivation. This innovation addresses critical challenges in sustainable agriculture by integrating computer vision, machine learning, and embedded systems. Beyond this flagship study, his research spans sensor fusion, autonomous navigation, and decision support systems for agricultural environments. Annadurai’s work has been widely recognized for bridging the gap between theoretical AI and practical field applications, making him a notable figure in agricultural technology. His achievements include advancing real-time detection accuracy and promoting eco-friendly farming practices, inspiring further research in smart farming and robotics.