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This systematic review evaluates the use of Near-Infrared Spectroscopy (NIRS) and Hyperspectral Imaging (HSI) for assessing mango quality, focusing on internal and external attributes critical for market acceptance. The study analyzes 101 articles, identifying effective machine learning and deep learning methods, particularly transformer models, for non-destructive grading of mangoes. It highlights current research gaps and future opportunities to enhance automated mango grading systems in the fruit industr

Author

yolandamilenatafurorahulio

Language

EN