Guest Lecture by Dr. Rudiati Evi Masithoh with Researchers from Kochi University, Japan, as Part of the Joint Supervision Program

Yogyakarta, 20 November 2025 — The Department of Agricultural and Biosystems Engineering (DTPB), Faculty of Agricultural Technology, Universitas Gadjah Mada (UGM), in collaboration with Kochi University, Japan, held a guest lecture titled “Point & Line-scan Spectroscopy for Quality Assessment of Agricultural Products” as part of the Joint Supervision Program. The session featured Dr. Rudiati Evi Masithoh, S.T.P., M.Dev.Tech. from DTPB UGM as the speaker, and was attended by students and researchers from UGM, external institutions, and Kochi University.

During the lecture, Dr. Evi explained the fundamental principles of light interaction with agricultural products, including electromagnetic wave properties, energy absorption mechanisms, and the roles of reflection, transmission, and scattering in determining spectroscopic data quality. Participants also learned about the distinct characteristics of the visible, near-infrared (NIR), and mid-infrared (MIR) regions that serve as the basis for quality assessment in agricultural commodities.

Beyond theoretical concepts, the lecture introduced several spectroscopic technologies, including point-type spectroscopy, FT-NIR, FT-IR, and fiber-optic spectroscopy, along with their applications and limitations for various agricultural samples. The session continued with a discussion on line-scan–based hyperspectral imaging (HSI), a technology that integrates spatial and spectral information to detect surface variations and internal compositions of products. This method is widely applied in sorting, grading, and real-time defect detection in the food industry.

This guest lecture not only broadened academic insights but also strengthened research development for students participating in the UGM–Kochi University Joint Supervision Program. Through this collaboration, students are expected to be better prepared to face international research challenges, particularly in smart instrumentation and quality evaluation technologies for agricultural products.

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