Mohd Hudzari Razali

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About

Mohd Hudzari Razali is a pioneering figure in agricultural mechatronics, whose work bridges robotics, computer vision, and precision farming. His core research focuses on developing intelligent vision systems for agricultural robots, particularly through videogrammetry—a technique that uses stereo camera pairs and triangulation to enable machines to perceive depth and accurately locate target objects. His seminal thesis, *Videogrammetry Technique for Arm Positioning of Bio-Production Robot* (2002, 3 citations), laid the foundation for what he terms the “robot eye,” allowing a simple user click to calculate real-world distances. This work directly informed his later conceptual designs, such as the *Conceptual control design for harvester robot* (2009, 2 citations), which applied the eye system to autonomous harvesting. Razali also addresses the broader ecosystem of farm automation, analyzing how mechatronic systems and improved transport logistics can reduce spoilage and empower smallholders, as seen in his 2012 study on agricultural mechanization education. Though his citation counts are modest, his contributions are notable for their practical, low-cost approach to equipping agricultural machinery with spatial intelligence—a critical step toward accessible, automated farming in developing regions.