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YOLOv8n-CSE: A Model for Detecting Litchi in Nighttime Environments

YOLOv8n-CSE: A Model for Detecting Litchi in Nighttime Environments

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_41f5b077748a4f128cd6abba9edfc6ee

YOLOv8n-CSE: A Model for Detecting Litchi in Nighttime Environments

About this item

Full title

YOLOv8n-CSE: A Model for Detecting Litchi in Nighttime Environments

Publisher

Basel: MDPI AG

Journal title

Agronomy (Basel), 2024-09, Vol.14 (9), p.1924

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The accurate detection of litchi fruit cluster is the key technology of litchi picking robot. In the natural environment during the day, due to the unstable light intensity, uncertain light angle, background clutter and other factors, the identification and positioning accuracy of litchi fruit cluster is greatly affected. Therefore, we proposed a m...

Alternative Titles

Full title

YOLOv8n-CSE: A Model for Detecting Litchi in Nighttime Environments

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_41f5b077748a4f128cd6abba9edfc6ee

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_41f5b077748a4f128cd6abba9edfc6ee

Other Identifiers

ISSN

2073-4395

E-ISSN

2073-4395

DOI

10.3390/agronomy14091924

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