Cotton-YOLO-Seg: An Enhanced YOLOV8 Model for Impurity Rate Detection in Machine-Picked Seed Cotton
Cotton-YOLO-Seg: An Enhanced YOLOV8 Model for Impurity Rate Detection in Machine-Picked Seed Cotton
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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The detection of the impurity rate in machine-picked seed cotton is crucial for precision agriculture. This study proposes a novel Cotton-YOLO-Seg cotton-impurity instance segmentation algorithm based on the you only look once version 8 small segmentation model (Yolov8s-Seg). The algorithm achieves precise pixel-level segmentation of cotton and imp...
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Full title
Cotton-YOLO-Seg: An Enhanced YOLOV8 Model for Impurity Rate Detection in Machine-Picked Seed Cotton
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TN_cdi_doaj_primary_oai_doaj_org_article_14701ac953bd473b948daa1603818de9
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_14701ac953bd473b948daa1603818de9
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ISSN
2077-0472
E-ISSN
2077-0472
DOI
10.3390/agriculture14091499
