Segmentation of weeds and crops using multispectral imaging and CRF-enhanced U-Net

Halil Mertkan Sahin,Tajul Miftahushudur,Bruce Grieve,Hujun Yin

Computers and Electronics in Agriculture（2023）

引用 1|浏览14

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摘要

•A valid approach for crop/weed segmentation is presented.•An input is proposed to train the U-Net model with the ResNet-50 structure.•A CRF increases the segmentation accuracy by reducing incorrectly labelled pixels.•High mean IoU was obtained using the proposed method with 512x512 image size.

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关键词

Semantic image segmentation,Deep learning,Precision agriculture,Weed / crop segmentation

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