Dr. Ir. Radi from the Faculty of Agricultural Technology at Universitas Gadjah Mada (UGM), together with a cross-faculty team, is leading an innovative research project to develop a prototype machine for measuring the viability of tomato and seedless watermelon seeds. The project, funded by Lembaga Pengelola Dana Pendidikan (LPDP), aims to create a fast and non-destructive measurement method by utilizing hyperspectral and X-ray imaging technologies combined with deep learning analysis.
The research, which runs from 2024 to 2025, focuses on developing software and a prototype capable of accurately estimating seed viability without damaging the seeds. This approach addresses the limitations of conventional methods, which are often time-consuming and destructive. By integrating advanced digital image processing and deep learning algorithms, this system is expected to analyze the internal characteristics of seeds to predict their germination potential. The cross-faculty collaboration at Universitas Gadjah Mada in this research demonstrates a commitment to delivering advanced and efficient agricultural technology solutions.
The development of this prototype machine is expected to become a significant breakthrough in the seed industry, enabling farmers and seed producers to more quickly and accurately select high-quality seeds. This innovation has great potential to improve agricultural efficiency and support national food security.
