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Automatic flower detection and phenology monitoring using time‐lapse cameras and deep learning

Automatic flower detection and phenology monitoring using time‐lapse cameras and deep learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6bbf261b24b14481830e4fd923e6dce4

Automatic flower detection and phenology monitoring using time‐lapse cameras and deep learning

About this item

Full title

Automatic flower detection and phenology monitoring using time‐lapse cameras and deep learning

Publisher

Oxford: John Wiley & Sons, Inc

Journal title

Remote sensing in ecology and conservation, 2022-12, Vol.8 (6), p.765-777

Language

English

Formats

Publication information

Publisher

Oxford: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

The advancement of spring is a widespread biological response to climate change observed across taxa and biomes. However, the species level responses to warming are complex and the underlying mechanisms are difficult to disentangle. This is partly due to a lack of data, which are typically collected by direct observations, and thus very time‐consum...

Alternative Titles

Full title

Automatic flower detection and phenology monitoring using time‐lapse cameras and deep learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_6bbf261b24b14481830e4fd923e6dce4

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6bbf261b24b14481830e4fd923e6dce4

Other Identifiers

ISSN

2056-3485

E-ISSN

2056-3485

DOI

10.1002/rse2.275

How to access this item