Lychee Surface Defect Detection Based on Deep Convolutional Neural Networks with GAN-Based Data Augmentation - Wang, Chenglong; Xiao, Zhifeng (Agronomy (Basel), 2021)
Keywords: agronomy; Artificial neural networks; Automation; Background noise; Categories; cost effectiveness; Data augmentation; data collection; Datasets; deep convolutional neural network; Deep learning; Defects; Design; Faster RCNN; Foliage; Fruits; generative adversarial network; Generative adversarial networks; leaves; litchis; Low temperature; lychee; Neural networks; Occlusion; Rot; SSD; surface defect detection; Surface defects; Surface properties; surface quality