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Study on the Identification of Mildew Disease of Cuttings at the Base of Mulberry Cuttings by Aeropo...

Study on the Identification of Mildew Disease of Cuttings at the Base of Mulberry Cuttings by Aeropo...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b7e433c5fea2453cb208a3505faa6a6d

Study on the Identification of Mildew Disease of Cuttings at the Base of Mulberry Cuttings by Aeroponics Rapid Propagation Based on a BP Neural Network

About this item

Full title

Study on the Identification of Mildew Disease of Cuttings at the Base of Mulberry Cuttings by Aeroponics Rapid Propagation Based on a BP Neural Network

Publisher

Basel: MDPI AG

Journal title

Agronomy (Basel), 2023-01, Vol.13 (1), p.106

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Accurate detection of cutting diseases in the process of aeroponic rapid propagation is very important for improving the rooting rate and survival rate of cuttings. This paper proposes to use image processing, with a dataset of the growth of mulberry cuttings and a backward propagation (BP) neural network, to identify mildew on the roots of mulberr...

Alternative Titles

Full title

Study on the Identification of Mildew Disease of Cuttings at the Base of Mulberry Cuttings by Aeroponics Rapid Propagation Based on a BP Neural Network

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b7e433c5fea2453cb208a3505faa6a6d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b7e433c5fea2453cb208a3505faa6a6d

Other Identifiers

ISSN

2073-4395

E-ISSN

2073-4395

DOI

10.3390/agronomy13010106

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