Nouhaila ElFahsi

Papers

Total Citations

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About

Nouhaila ElFahsi is a rising researcher at the forefront of agricultural technology, specializing in the integration of artificial intelligence, the Internet of Things (IoT), and robotics for precision farming. Her most cited work, "Revolutionizing Weed Detection in Agriculture through the Integration of IoT, Big Data, and Deep Learning with Robotic Technology" (2023), has already garnered 11 citations, marking a significant early-career impact. In this study, ElFahsi developed a novel deep learning-based image processing technique that enables robotic systems to accurately classify plants as crops or weeds in real time. By combining IoT sensors with big data analytics, her approach allows for autonomous, targeted weed control—reducing the need for chemical herbicides and promoting sustainable agriculture. This work addresses a critical challenge in modern farming: balancing high crop yields with environmental stewardship. ElFahsi’s contributions are particularly notable for their practical scalability, offering a blueprint for next-generation smart farming systems. Her research sits at the intersection of computer vision, robotics, and agronomy, and her innovative methodology has quickly attracted attention from both academic and industry circles. As a young scientist, ElFahsi is establishing herself as a key voice in the movement toward data-driven, eco-friendly agricultural practices.