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Machine Learning Modeling of Mid-Infrared Spectroscopy Data for Rapid Sample Analysis

Executive Statement: The technology leverages mid-infrared spectroscopy data and machine learning modeling to provide multi-property analysis that is fast and cost-effective, compared to traditional wet chemistry testing methods. Description: The MSU research team developed machine learning models using mid-infrared (MIR) spectroscopy data for...
Published: 7/29/2026   |   Inventor(s): Jessica Miesel, Faisal Sherif, Jonathan Dahl
Keywords(s):   Category(s): Agricultural, Agriculture, Computer Software, Data Processing/Analysis, Environment, Environmental