Md Shahin Alam Mozumder

Papers

Total Citations

H-Index

About

Md Shahin Alam Mozumder is a researcher at the forefront of integrating the Internet of Things (IoT) and artificial intelligence (AI) to transform modern agriculture. His work centers on developing autonomous robotic systems for smart farming, where he has pioneered the use of intelligent navigation and communication technologies to enhance agricultural productivity and sustainability. His most-cited paper, "IoT-based Autonomous Robot for Smart Farming" (2024), with 2 citations, exemplifies his contribution to creating self-operating systems that can monitor crops, manage resources, and reduce human labor through real-time data processing. By combining IoT sensors with AI-driven decision-making, Mozumder has advanced the cognitive capabilities of agricultural robots, enabling them to adapt to dynamic field conditions. His research addresses critical challenges in food security and precision farming, offering scalable solutions for small- and large-scale agriculture. Mozumder’s work is notable for its practical impact, bridging the gap between theoretical AI models and real-world deployment, and his findings are increasingly cited by peers exploring automation in agri-tech. For students and researchers, his profile represents a compelling example of how interdisciplinary innovation can drive sustainable technological change in vital sectors.