Fast location and segmentation of high-throughput damaged soybean seeds with invertible neural networks.
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DOI: 10.1002/jsfa.11848
Abstract: BACKGROUND Fast identification of damaged soybean seeds has undeniable importance in seed sorting and food quality. Mechanical vibration is generally used in soybean seed sorting, which will seriously damage soybean seeds. Convolutional Neural Network (CNN)… read more here.
Keywords: location segmentation; seed; soybean seeds; damaged soybean ... See more keywords