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Role of Internet of Things and Deep Learning Techniques in Plant Disease Detection and Classificatio...

Role of Internet of Things and Deep Learning Techniques in Plant Disease Detection and Classificatio...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5360e46c8be444c2bdb83ed2adfd3eb8

Role of Internet of Things and Deep Learning Techniques in Plant Disease Detection and Classification: A Focused Review

About this item

Full title

Role of Internet of Things and Deep Learning Techniques in Plant Disease Detection and Classification: A Focused Review

Publisher

Basel: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2023-09, Vol.23 (18), p.7877

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The automatic detection, visualization, and classification of plant diseases through image datasets are key challenges for precision and smart farming. The technological solutions proposed so far highlight the supremacy of the Internet of Things in data collection, storage, and communication, and deep learning models in automatic feature extraction...

Alternative Titles

Full title

Role of Internet of Things and Deep Learning Techniques in Plant Disease Detection and Classification: A Focused Review

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_5360e46c8be444c2bdb83ed2adfd3eb8

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5360e46c8be444c2bdb83ed2adfd3eb8

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s23187877

How to access this item