Predicting grain protein content of field-grown winter wheat with satellite images and partial least...
Predicting grain protein content of field-grown winter wheat with satellite images and partial least square algorithm
About this item
Full title
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Publisher
United States: Public Library of Science
Journal title
Language
English
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Publication information
Publisher
United States: Public Library of Science
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Scope and Contents
Contents
Remote sensing has been used as an important means of modern crop production monitoring, especially for wheat quality prediction in the middle and late growth period. In order to further improve the accuracy of estimating grain protein content (GPC) through remote sensing, this study analyzed the quantitative relationship between 14 remote sensing...
Alternative Titles
Full title
Predicting grain protein content of field-grown winter wheat with satellite images and partial least square algorithm
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Record Identifier
TN_cdi_plos_journals_2376210217
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2376210217
Other Identifiers
ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0228500
