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Recognition Method of Crop Disease Based on Image Fusion and Deep Learning Model

Recognition Method of Crop Disease Based on Image Fusion and Deep Learning Model

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d54948437c224f508ac7ead26ba012a1

Recognition Method of Crop Disease Based on Image Fusion and Deep Learning Model

About this item

Full title

Recognition Method of Crop Disease Based on Image Fusion and Deep Learning Model

Publisher

Basel: MDPI AG

Journal title

Agronomy (Basel), 2024-07, Vol.14 (7), p.1518

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Accurate detection of early diseased plants is of great significance for high quality and high yield of crops, as well as cultivation management. Aiming at the low accuracy of the traditional deep learning model for disease diagnosis, a crop disease recognition method was proposed based on multi-source image fusion. In this study, the adzuki bean r...

Alternative Titles

Full title

Recognition Method of Crop Disease Based on Image Fusion and Deep Learning Model

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_d54948437c224f508ac7ead26ba012a1

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d54948437c224f508ac7ead26ba012a1

Other Identifiers

ISSN

2073-4395

E-ISSN

2073-4395

DOI

10.3390/agronomy14071518

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