Weakly Supervised Crop Area Segmentation for an Autonomous Combine Harvester
Weakly Supervised Crop Area Segmentation for an Autonomous Combine Harvester
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Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
Machine vision with deep learning is a promising type of automatic visual perception for detecting and segmenting an object effectively; however, the scarcity of labelled datasets in agricultural fields prevents the application of deep learning to agriculture. For this reason, this study proposes weakly supervised crop area segmentation (WSCAS) to...
Alternative Titles
Full title
Weakly Supervised Crop Area Segmentation for an Autonomous Combine Harvester
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Author / Creator
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TN_cdi_doaj_primary_oai_doaj_org_article_e5d01f4cc67e4313aac704347b781726
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e5d01f4cc67e4313aac704347b781726
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s21144801
