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UAV Image-Based Crop Growth Analysis of 3D-Reconstructed Crop Canopies

UAV Image-Based Crop Growth Analysis of 3D-Reconstructed Crop Canopies

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ae35b6688625409bb4a3234b9d33c00d

UAV Image-Based Crop Growth Analysis of 3D-Reconstructed Crop Canopies

About this item

Full title

UAV Image-Based Crop Growth Analysis of 3D-Reconstructed Crop Canopies

Publisher

Switzerland: MDPI AG

Journal title

Plants (Basel), 2022-10, Vol.11 (20), p.2691

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Plant growth rate is an essential phenotypic parameter for quantifying potential crop productivity. Under field conditions, manual measurement of plant growth rate is less accurate in most cases. Image-based high-throughput platforms offer great potential for rapid, non-destructive, and objective estimation of plant growth parameters. The aim of th...

Alternative Titles

Full title

UAV Image-Based Crop Growth Analysis of 3D-Reconstructed Crop Canopies

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ae35b6688625409bb4a3234b9d33c00d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ae35b6688625409bb4a3234b9d33c00d

Other Identifiers

ISSN

2223-7747

E-ISSN

2223-7747

DOI

10.3390/plants11202691

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