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Utilizing High-Resolution Imaging and Artificial Intelligence for Accurate Leaf Wetness Detection fo...

Utilizing High-Resolution Imaging and Artificial Intelligence for Accurate Leaf Wetness Detection fo...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d6eccb984f554fe4a15d50075409695d

Utilizing High-Resolution Imaging and Artificial Intelligence for Accurate Leaf Wetness Detection for the Strawberry Advisory System (SAS)

About this item

Full title

Utilizing High-Resolution Imaging and Artificial Intelligence for Accurate Leaf Wetness Detection for the Strawberry Advisory System (SAS)

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2024-08, Vol.24 (15), p.4836

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

In strawberry cultivation, precise disease management is crucial for maximizing yields and reducing unnecessary fungicide use. Traditional methods for measuring leaf wetness duration (LWD), a critical factor in assessing the risk of fungal diseases such as botrytis fruit rot and anthracnose, have been reliant on sensors with known limitations in ac...

Alternative Titles

Full title

Utilizing High-Resolution Imaging and Artificial Intelligence for Accurate Leaf Wetness Detection for the Strawberry Advisory System (SAS)

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_d6eccb984f554fe4a15d50075409695d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d6eccb984f554fe4a15d50075409695d

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s24154836

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