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Deep Learning Based Disease, Pest Pattern and Nutritional Deficiency Detection System for “Zingibera...

Deep Learning Based Disease, Pest Pattern and Nutritional Deficiency Detection System for “Zingibera...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_056804c6ccd140a1b98972ad4881fd37

Deep Learning Based Disease, Pest Pattern and Nutritional Deficiency Detection System for “Zingiberaceae” Crop

About this item

Full title

Deep Learning Based Disease, Pest Pattern and Nutritional Deficiency Detection System for “Zingiberaceae” Crop

Publisher

Basel: MDPI AG

Journal title

Agriculture (Basel), 2022-06, Vol.12 (6), p.742

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Plants’ diseases cannot be avoided because of unpredictable climate patterns and environmental changes. The plants like ginger get affected by various pests, conditions, and nutritional deficiencies. Therefore, it is essential to identify such causes early and perform the cure to get the desired production rate. Deep learning-based methods are help...

Alternative Titles

Full title

Deep Learning Based Disease, Pest Pattern and Nutritional Deficiency Detection System for “Zingiberaceae” Crop

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_056804c6ccd140a1b98972ad4881fd37

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_056804c6ccd140a1b98972ad4881fd37

Other Identifiers

ISSN

2077-0472

E-ISSN

2077-0472

DOI

10.3390/agriculture12060742

How to access this item