Umair Maqsood
Papers
1
Total Citations
9
H-Index
1
About
Dr. Umair Maqsood is a rising researcher at the intersection of artificial intelligence and food science, with a primary focus on leveraging computational technologies to enhance agricultural quality assurance. His most cited work, a 2023 review on the comparative analysis of fruits and vegetables quality using AI-assisted technologies, has garnered 9 citations and establishes a critical framework for understanding how machine learning and computer vision can revolutionize food processing—from planting and harvesting through to storage and consumption. This review underscores his central contribution: demonstrating that AI-driven approaches are not merely supplementary but essential for ensuring human health and societal stability through rigorous food quality control. By systematically evaluating various technological interventions across the entire food supply chain, Dr. Maqsood has provided a foundational resource for researchers and practitioners seeking to modernize agricultural practices. His work bridges the gap between advanced computational methods and practical food safety challenges, positioning him as a key voice in the emerging field of AI-enhanced agri-food systems. As his citation impact grows, Dr. Maqsood continues to shape how we think about technology’s role in safeguarding the quality of our most essential resources.
Research Focus
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Top Papers
- 1