Arslan Yousaf
Papers
1
Total Citations
85
H-Index
1
About
Arslan Yousaf is a leading researcher at the intersection of artificial intelligence and sustainable agriculture, with a primary focus on developing intelligent decision-support systems for smart farming. His most cited work, an AI-based bibliometric analysis of decision support systems in smart agriculture (85 citations), provides critical operational insights and future directions for the field, addressing the urgent need to feed a projected global population of 9.73 billion by 2050. Yousaf’s major contributions lie in systematically mapping how AI and IoT technologies are transforming conventional farming into data-driven, efficient agricultural ecosystems. By analyzing vast research landscapes, he identifies key technological bottlenecks and emerging trends, offering a strategic roadmap for researchers and policymakers. His work has become essential reading for those developing precision agriculture tools, demonstrating how machine learning can optimize resource use, predict crop yields, and enhance farm management. Yousaf’s research not only advances academic understanding but also provides actionable frameworks for real-world agricultural sustainability, making him a pivotal voice in the global effort to achieve food security through technological innovation.
Research Focus
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Top Papers
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