The International Congress on Cyberspace Intelligence and Health 2025

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Sahraoui Dhelim
Research Director, School of Computing, Dublin City University, Ireland

Topic: Artificial Intelligence for Smart Agriculture: A Deep Reinforcement Learning Approach to Nitrogen Use Efficiency

Abstract: Artificial Intelligence is reshaping agriculture by fusing machine learning, sensing systems, and IoT data to optimize field-scale decisions and resource use. This talk surveys AI’s impact on crop health monitoring, yield prediction, and precision management, then spotlights deep reinforcement learning (DRL) as a catalyst for boosting nitrogen use efficiency. Whereas conventional nitrogen management often wastes fertilizer and harms soil and ecosystems, DRL agents learn adaptive fertilization strategies by interacting with crop models and real-time field data—responding to soil conditions, weather, and growth stages to minimize nitrogen loss while sustaining yields. The findings demonstrate how AI-driven control can cut input costs, reduce ecological impacts, and accelerate globally sustainable agriculture.

Biography: Sahraoui Dhelim is the Research Director in the School of Computing at Dublin City University. He previously served as a research scientist at University College Dublin (2021–2024) and as a visiting researcher at Ulster University (2020–2021). Dr. Dhelim earned his Ph.D. in Computer Science and Technology from the University of Science and Technology Beijing in 2020, holds an M.S. in Networking and Distributed Systems from the University of Laghouat (2014), and a B.S. in Computer Science from the University of Djelfa (2012). He is an editor for the AI and Autonomous Systems Journal and guest editor for Electronics and Applied Sciences, with research spanning data analytics, machine learning, deep learning, IoT, and intelligent transportation systems.