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Prediction of Thrips Damage Distribution in Mango Orchards Using a Novel Maximum Likelihood Classifi...

Prediction of Thrips Damage Distribution in Mango Orchards Using a Novel Maximum Likelihood Classifi...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8b3fcb82b72345098be980a104dd24b8

Prediction of Thrips Damage Distribution in Mango Orchards Using a Novel Maximum Likelihood Classifier

About this item

Full title

Prediction of Thrips Damage Distribution in Mango Orchards Using a Novel Maximum Likelihood Classifier

Publisher

Basel: MDPI AG

Journal title

Agronomy (Basel), 2024-04, Vol.14 (4), p.795

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Thrips constitute the primary pest responsible for reducing mango yield and quality every year in Asia. Therefore, the efficient monitoring of thrips damage across mango orchards on a large scale to aid farmers in devising rational pesticide application strategies poses a significant challenge within the current mango industry. This study designs a...

Alternative Titles

Full title

Prediction of Thrips Damage Distribution in Mango Orchards Using a Novel Maximum Likelihood Classifier

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_8b3fcb82b72345098be980a104dd24b8

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8b3fcb82b72345098be980a104dd24b8

Other Identifiers

ISSN

2073-4395

E-ISSN

2073-4395

DOI

10.3390/agronomy14040795

How to access this item