YOLO Recognition Method for Tea Shoots Based on Polariser Filtering and LFAnet
Jinyi Peng,
Yongnian Zhang,
Jieyu Xian
et al.
Abstract:This study proposes a YOLOv5 inspection model based on polariser filtering (PF) to improve the recognition accuracy of the machine vision inspection model for tea leaf shoots when operating under intense outdoor light. To study the influence of the polariser parameters on the quality of the tea shoot image datasets, we improved the YOLOv5 algorithm module, inputted the results obtained from the spatial pyramid pooling structure in the backbone module into the neck module, set the up-sampling link of the neck m… Show more
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