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Automated Machine Learning for High-Throughput Image-Based Plant Phenotyping

Automated Machine Learning for High-Throughput Image-Based Plant Phenotyping

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c88b2daa8d084e92abd49dae401b9403

Automated Machine Learning for High-Throughput Image-Based Plant Phenotyping

About this item

Full title

Automated Machine Learning for High-Throughput Image-Based Plant Phenotyping

Publisher

MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2021-03, Vol.13 (5), p.858

Language

English

Formats

Publication information

Publisher

MDPI AG

More information

Scope and Contents

Contents

Automated machine learning (AutoML) has been heralded as the next wave in artificial intelligence with its promise to deliver high-performance end-to-end machine learning pipelines with minimal effort from the user. However, despite AutoML showing great promise for computer vision tasks, to the best of our knowledge, no study has used AutoML for im...

Alternative Titles

Full title

Automated Machine Learning for High-Throughput Image-Based Plant Phenotyping

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_c88b2daa8d084e92abd49dae401b9403

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c88b2daa8d084e92abd49dae401b9403

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs13050858

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