Machine learning-driven classification and quality assessment of rice varieties
At the TRACE-RICE final conference last October, Pedro Sampaio, Associate Professor at Universidade Lusófona and INIAV collaborator, highlighted the results achieved with machine learning-driven classification and quality assessment of rice varieties using NIR spectroscopy. He also presented rice classification models with significant potential for industrial applications. Access the full presentation here.