Mohamed Islam Keskes

Papers

Total Citations

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About

Mohamed Islam Keskes is at the forefront of applying artificial intelligence to global food systems. His research centers on the intersection of deep learning and sustainable agriculture, a cornerstone of the emerging Agriculture 4.0 paradigm. In his highly cited 2025 review, Keskes provides a comprehensive synthesis of how deep learning technologies are revolutionizing precision crop management, livestock monitoring, soil analysis, and water resource management. His work directly addresses critical global challenges, including food security, climate change adaptation, and resource scarcity. By systematically mapping the current state of DL applications in agriculture, Keskes has created an essential roadmap for researchers and practitioners seeking to leverage AI for more efficient, resilient farming practices. His review has already garnered significant attention, accumulating 2 citations shortly after publication—a strong indicator of its immediate impact on the field. Through this foundational work, Keskes is helping to bridge the gap between cutting-edge computational methods and practical agricultural solutions, positioning himself as a key voice in the transformation toward data-driven, sustainable food production.