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Modified Red Blue Vegetation Index for Chlorophyll Estimation and Yield Prediction of Maize from Vis...

Modified Red Blue Vegetation Index for Chlorophyll Estimation and Yield Prediction of Maize from Vis...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_dbe94e1d08d8427884f156e568434688

Modified Red Blue Vegetation Index for Chlorophyll Estimation and Yield Prediction of Maize from Visible Images Captured by UAV

About this item

Full title

Modified Red Blue Vegetation Index for Chlorophyll Estimation and Yield Prediction of Maize from Visible Images Captured by UAV

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2020-09, Vol.20 (18), p.5055

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

The vegetation index (VI) has been successfully used to monitor the growth and to predict the yield of agricultural crops. In this paper, a long-term observation was conducted for the yield prediction of maize using an unmanned aerial vehicle (UAV) and estimations of chlorophyll contents using SPAD-502. A new vegetation index termed as modified red...

Alternative Titles

Full title

Modified Red Blue Vegetation Index for Chlorophyll Estimation and Yield Prediction of Maize from Visible Images Captured by UAV

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_dbe94e1d08d8427884f156e568434688

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_dbe94e1d08d8427884f156e568434688

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s20185055

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