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About

Hazriq Izzuan Jaafar is a researcher specializing in robotics, automation, and sensor systems, with a strong focus on agricultural and industrial applications. His most significant contribution is the design and development of an autonomous pesticide sprayer robot for fertigation farms, a work that has garnered 28 citations and addresses a critical gap in pest management within Malaysia’s fertigation-based agricultural systems. Jaafar has also advanced the field of sensory technology through comparative studies of distance measurement sensors—such as IR and ultrasonic sensors—and by introducing a novel metal line detection system for line-following mobile robots, enhancing automated guided vehicle (AGV) performance. His research extends to tactile sensor trends, PLC-controlled sorting and retrieval robots for library automation, and automatic wood texture classification using Local Binary Pattern and Fuzzy K-Nearest Neighbor. With a portfolio that bridges practical engineering solutions and intelligent systems, Jaafar’s work demonstrates measurable impact in precision agriculture, industrial automation, and sensory integration, making him a notable contributor to applied robotics and smart technology development.