A Reliable Method to Recognize Soybean Seed Maturation Stages Based on Autofluorescence-Spectral Imaging Combined With Machine Learning Algorithms
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DOI: 10.3389/fpls.2022.914287
Abstract: In recent years, technological innovations have allowed significant advances in the diagnosis of seed quality. Seeds with superior physiological quality are those with the highest level of physiological maturity and the integration of rapid and… read more here.
Keywords: maturation; maturation stages; autofluorescence spectral; machine ... See more keywords