Detection of Mulberry Ripeness Stages Using Deep Learning Models
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DOI: 10.1109/access.2021.3096550
Abstract: Ripeness classification is one of the most challenging tasks in the postharvest management of mulberry fruit. The risks of microbial contamination and human error in manual sorting are significant; it may result in quality degradation… read more here.
Keywords: resnet; accuracy; mulberry ripeness; classification ... See more keywords