John Ace Malabanan
Papers
1
Total Citations
1
H-Index
1
About
Dr. John Ace Malabanan is a rising figure in agricultural automation and post-harvest engineering, with a focused expertise in robotic sorting systems and machine learning applications for fresh produce quality assessment. His most-cited work, "Automated Bell Pepper Quality Assessment: Robotic Gripper Sorting System with Transfer Learning" (2025), addresses a critical bottleneck in the agricultural supply chain: the inefficiency and inconsistency of manual sorting. By integrating a robotic gripper with transfer learning techniques, Malabanan has demonstrated a scalable solution that enhances both speed and accuracy in grading bell peppers, directly improving marketability and reducing labor dependency. Though early in its citation trajectory, this work signals a significant contribution to precision agriculture and food quality control. Malabanan’s research bridges mechanical design and artificial intelligence, offering practical tools for farmers and packhouses. His achievements underscore a commitment to transforming post-harvest operations through intelligent automation, making him a promising innovator for students and researchers interested in the intersection of robotics, computer vision, and sustainable food systems.
Research Focus
Key Achievements
Top Papers
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