A custom 23-layer CNN classifies ten Brassica seed types from microscope images with 93% test accuracy on a newly collected dataset.
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A Novel Convolutional Neural Network-Based Framework for Complex Multiclass Brassica Seed Classification
A custom 23-layer CNN classifies ten Brassica seed types from microscope images with 93% test accuracy on a newly collected dataset.