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SwinGD: A Robust Grape Bunch Detection Model Based on Swin Transformer in Complex Vineyard Environme...

SwinGD: A Robust Grape Bunch Detection Model Based on Swin Transformer in Complex Vineyard Environme...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_637f97f3c8cb44399e586660971d04f0

SwinGD: A Robust Grape Bunch Detection Model Based on Swin Transformer in Complex Vineyard Environment

About this item

Full title

SwinGD: A Robust Grape Bunch Detection Model Based on Swin Transformer in Complex Vineyard Environment

Publisher

Basel: MDPI AG

Journal title

Horticulturae, 2021-11, Vol.7 (11), p.492

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Accurate recognition of fruits in the orchard is an important step for robot picking in the natural environment, since many CNN models have a low recognition rate when dealing with irregularly shaped and very dense fruits, such as a grape bunch. It is a new trend to use a transformer structure and apply it to a computer vision domain for image proc...

Alternative Titles

Full title

SwinGD: A Robust Grape Bunch Detection Model Based on Swin Transformer in Complex Vineyard Environment

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_637f97f3c8cb44399e586660971d04f0

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_637f97f3c8cb44399e586660971d04f0

Other Identifiers

ISSN

2311-7524

E-ISSN

2311-7524

DOI

10.3390/horticulturae7110492

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