Muhammad Akbar Andi Arief
Papers
1
Total Citations
3
H-Index
1
About
Dr. Muhammad Akbar Andi Arief is a pioneering researcher in the intersection of artificial intelligence and food safety engineering, with a primary focus on developing intelligent vision systems for agricultural quality control. His most significant contribution to date is the creation of a real-time foreign material detection system for fresh-cut vegetables, leveraging the YOLOv7 object detection framework. This groundbreaking work, published in 2025 and already garnering 3 citations, addresses a critical challenge in the food industry: the rapid and accurate identification of diverse contaminants that threaten consumer health and product integrity. By engineering an inspection system that can detect foreign objects in real-time during processing, Dr. Arief's research directly enhances food safety protocols and reduces waste in fresh-cut vegetable production. His work exemplifies the practical application of deep learning to solve pressing industrial problems, positioning him as an emerging leader in computer vision for food quality assurance. Dr. Arief's contributions are particularly valuable for researchers and engineers seeking to bridge the gap between advanced AI algorithms and real-world manufacturing challenges, demonstrating how intelligent automation can safeguard public health while maintaining production efficiency.
Research Focus
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Top Papers
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