Mohamed Baghrous
Papers
3
Total Citations
14
H-Index
3
About
Mohamed Baghrous is an emerging researcher specializing in fog computing, the Internet of Things (IoT), and smart agriculture, with a particular focus on applying cutting-edge technologies to transform traditional farming practices. His work sits at the intersection of distributed computing and precision agriculture, addressing critical challenges in automating and optimizing agricultural systems, particularly in resource-constrained rural environments. Baghrous has made notable contributions through his development of innovative fog-based architectures for smart farming applications. His module placement schemes for fog computing environments and frameworks for autonomous farm management demonstrate a consistent effort to reduce latency, minimize power consumption, and enhance efficiency in IoT-driven agricultural systems. A particularly distinctive strand of his research addresses agriculture in Morocco's oases, where his fog-enabled IoT robotic system for date palm monitoring offers practical solutions tailored to real-world ecological and economic needs. With citations accumulating across publications from 2019 to 2025, Baghrous represents a researcher steadily building influence in the smart agriculture domain. His work is especially valuable for students and practitioners exploring how fog computing can bridge the gap between cloud infrastructure and field-level agricultural intelligence, offering scalable, efficient solutions suited to the demands of Industry 4.0.
Research Focus
Key Achievements
Top Papers
- 1A module placement scheme for fog-based smart farming applications5 citations · 2023
- 2Towards Autonomous Farms Based on Fog Computing5 citations · 2019
- 3