Abdellatif Kobbane
Papers
2
Total Citations
23
H-Index
2
About
Dr. Abdellatif Kobbane is a leading researcher at the intersection of wireless communications, the Internet of Things (IoT), and intelligent agricultural systems. His foundational work in networking includes a highly cited 2015 paper on ferry-assisted solutions for forwarding functions in Wireless Sensor Networks, which addresses critical challenges in data transmission efficiency. More recently, Dr. Kobbane has made a significant impact at the cutting edge of precision agriculture. His 2023 study, which has already garnered 11 citations, presents a groundbreaking approach to weed detection by integrating IoT, big data analytics, and deep learning with robotic technology. This work develops sophisticated image-processing algorithms that enable robotic weed control systems to accurately classify plants as crops or weeds, promising to revolutionize sustainable farming practices. By bridging the gap between advanced sensor networks and practical agricultural robotics, Dr. Kobbane’s research demonstrates a clear trajectory from foundational networking theory to high-impact, real-world applications. His contributions are shaping the future of smart, autonomous, and environmentally conscious agricultural systems.
Research Focus
Key Achievements
Top Papers
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