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A Novel Hybrid Severity Prediction Model for Blast Paddy Disease Using Machine Learning

A Novel Hybrid Severity Prediction Model for Blast Paddy Disease Using Machine Learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2767296071

A Novel Hybrid Severity Prediction Model for Blast Paddy Disease Using Machine Learning

About this item

Full title

A Novel Hybrid Severity Prediction Model for Blast Paddy Disease Using Machine Learning

Publisher

Basel: MDPI AG

Journal title

Sustainability, 2023-01, Vol.15 (2), p.1502

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Hypothesis: Due to the increase in the losses in paddy yield as a result of various paddy diseases, researchers are working tirelessly for a technological solution to assist farmers in making decisions about disease severity and potential danger to the crop. Early prediction of infection severity would facilitate resources for the treatment of the...

Alternative Titles

Full title

A Novel Hybrid Severity Prediction Model for Blast Paddy Disease Using Machine Learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2767296071

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2767296071

Other Identifiers

ISSN

2071-1050

E-ISSN

2071-1050

DOI

10.3390/su15021502

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