Robbi Rahim

Papers

Total Citations

H-Index

About

Robbi Rahim is a researcher whose work bridges the critical gap between emerging technology and underserved educational communities, particularly in eastern Indonesia. His primary research areas span robotics, embedded systems, and the application of machine learning in precision agriculture. Rahim’s most cited work, "Implementation of Line Follower Robot based Microcontroller ATMega32A" (2020, 41 citations), addresses a pressing need for accessible learning media in university electrical laboratories, such as at Musamus Merauke, where technological development lags behind. This contribution not only demonstrates practical engineering but also highlights a commitment to educational equity. More recently, Rahim has ventured into the intersection of computer vision and agriculture, as seen in his 2023 publication "Advancements in Plant Disease Detection: Integrating Machine Learning, Image Processing, and Precision Agriculture" (6 citations), published in the peer-reviewed IJCERT. This work signals a forward-looking shift toward data-driven solutions for food security. By combining hands-on microcontroller projects with cutting-edge AI techniques, Rahim exemplifies a researcher dedicated to both foundational teaching and innovative, real-world problem-solving.