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Lightweight SM-YOLOv5 Tomato Fruit Detection Algorithm for Plant Factory

Lightweight SM-YOLOv5 Tomato Fruit Detection Algorithm for Plant Factory

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_434e502efab24626906354dc6c58f473

Lightweight SM-YOLOv5 Tomato Fruit Detection Algorithm for Plant Factory

About this item

Full title

Lightweight SM-YOLOv5 Tomato Fruit Detection Algorithm for Plant Factory

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2023-03, Vol.23 (6), p.3336

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Due to their rapid development and wide application in modern agriculture, robots, mobile terminals, and intelligent devices have become vital technologies and fundamental research topics for the development of intelligent and precision agriculture. Accurate and efficient target detection technology is required for mobile inspection terminals, pick...

Alternative Titles

Full title

Lightweight SM-YOLOv5 Tomato Fruit Detection Algorithm for Plant Factory

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_434e502efab24626906354dc6c58f473

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_434e502efab24626906354dc6c58f473

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s23063336

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