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https://pubmed.ncbi.nlm.nih.gov/38116146
This study developed an lightweight weed segmentation model, DCSAnet, using a soybean field weed dataset, which achieved high segmentation accuracy and demonstrates effectiveness for weed identification in mobile weed control devices.
