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A Real-Time Apple Targets Detection Method for Picking Robot Based on Improved YOLOv5

A Real-Time Apple Targets Detection Method for Picking Robot Based on Improved YOLOv5

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1376dbb452ed4353a9a8f664bfcaba2b

A Real-Time Apple Targets Detection Method for Picking Robot Based on Improved YOLOv5

About this item

Full title

A Real-Time Apple Targets Detection Method for Picking Robot Based on Improved YOLOv5

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2021-05, Vol.13 (9), p.1619

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The apple target recognition algorithm is one of the core technologies of the apple picking robot. However, most of the existing apple detection algorithms cannot distinguish between the apples that are occluded by tree branches and occluded by other apples. The apples, grasping end-effector and mechanical picking arm of the robot are very likely t...

Alternative Titles

Full title

A Real-Time Apple Targets Detection Method for Picking Robot Based on Improved YOLOv5

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_1376dbb452ed4353a9a8f664bfcaba2b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1376dbb452ed4353a9a8f664bfcaba2b

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs13091619

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