Yogyakarta – Dr. Ir. Radi, S.T.P., M.Eng., IPU, ASEAN Eng,
a researcher from the Faculty of Agricultural Technology at Universitas Gadjah Mada (UGM), has successfully designed a rapid detection tool for assessing the physical quality of dry cocoa beans. The research, completed in 2022, utilizes digital image processing technology to develop an automated sorting system, aiming to improve efficiency and product quality in the cocoa industry.
The study led by Dr. Ir. Radi focuses on developing an innovative solution to challenges in the cocoa industry, particularly in the bean sorting process. By applying Computer Vision through digital image processing, the tool can analyze the physical characteristics of dry cocoa beans quickly and accurately. This serves as a crucial foundation for developing an online sorting system that can operate automatically.
“Our main goal is to create a tool that can help the cocoa industry ensure product quality more efficiently,” explained Dr. Ir. Radi. “With fast and automated quality detection, the sorting process can be carried out more precisely, reducing human error and ultimately increasing the market value of cocoa beans.”
This research was funded by DRTPM (a grant from the Ministry of Education, Culture, Research, and Technology) and is the result of collaboration with external partners, both national and international. This collaboration reflects Universitas Gadjah Mada’s commitment to delivering relevant and impactful innovations for the agricultural and industrial sectors. The output of this research is a prototype or AI-based product ready for further development.
The presence of this AI-based cocoa bean quality detection prototype is expected to become a significant breakthrough for Indonesia’s cocoa industry. This innovation holds great potential to improve quality standards, production efficiency, and global competitiveness of cocoa products, supporting the advancement of the agricultural and food industries.
