An accurate detection and segmentation model of obscured green fruits
Computers and Electronics in Agriculture(2022)
摘要
•The proposed model achieves 85.3% segmentation accuracy for green fruits.•FPN is replaced by RFPN, which improves the segmentation accuracy.•A double-layer CBA network is added to segment overlapping fruits more accurately.
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关键词
Automatic harvesting,FCOS,Green fruit,Double-layer convolutional block attention,RFPN
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