Papers
2
Total Citations
8
H-Index
2
About
Dr. Ha Pham is a pioneering researcher at the intersection of robotics, computer vision, and smart agriculture, with a focused mission to revolutionize food production through automation. Her primary research areas include agricultural robotics, IoT-enabled systems, and machine vision for postharvest handling. Dr. Pham’s major contributions are exemplified by her development of a low-cost, integrated robotics solution for automated tomato picking and packing, which leverages Internet of Things (IoT) and Machine-to-Machine (M2M) communication to streamline the postharvest stage—a critical bottleneck in the food supply chain. Her work on evaluating 3D camera systems (Intel RealSense D435 and Zivid Two) for tomato detection, combined with YOLO deep learning models, provides practical, data-driven insights into optimal sensor deployment for greenhouse and laboratory conditions. With her most-cited paper garnering 5 citations and a second achieving 3 citations in a short time, Dr. Pham’s research is gaining traction among peers for its tangible, scalable impact. Her notable achievements include piloting a complete, automated harvest-to-pack workflow, demonstrating that affordable technology can bridge the gap between traditional farming and Industry 4.0. For students and researchers, Dr. Pham’s work offers a compelling blueprint for applying robotics and AI to solve real-world agricultural challenges.
Research Focus
Key Achievements
Top Papers
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