Moammar Dayoub

Papers

Total Citations

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About

Moammar Dayoub is an emerging researcher at the intersection of agricultural technology and animal production, with a focused expertise in smart livestock farming systems. His work investigates how cutting-edge technologies — including remote sensing, digital monitoring tools, and data-driven solutions — can transform traditional animal husbandry to meet growing global food demands sustainably and efficiently. Dayoub's most influential contribution, "Enhancing Animal Production through Smart Agriculture: Possibilities, Hurdles, Resolutions, and Advantages" (2024), has rapidly garnered 58 citations, reflecting the timeliness and relevance of his research in an era of accelerating agricultural innovation. Employing rigorous methodologies combining surveys and real-world case studies, he systematically maps both the opportunities and obstacles facing the adoption of smart technologies in livestock management. His 2023 companion study further establishes his commitment to this field, offering practitioners and policymakers a comprehensive framework for understanding where smart agriculture can deliver meaningful gains in production efficiency and environmental sustainability. Together, these works position Dayoub as a valuable voice in the conversation around precision livestock farming, making his research particularly valuable for students and professionals seeking to understand the future of technologically integrated, sustainable animal production systems.