Combining Hyperspectral Reflectance and Multivariate Regression Models to Estimate Plant Biomass of...
Combining Hyperspectral Reflectance and Multivariate Regression Models to Estimate Plant Biomass of Advanced Spring Wheat Lines in Diverse Phenological Stages under Salinity Conditions
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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An area of growing interest in wheat-breeding programs for abiotic stresses is the accurate and expeditious phenotyping of large genotype collections using nondestructive hyperspectral sensing tools. The main goal of this study was to use data from canopy spectral signatures (CSS) in the full-spectrum range (400–2500 nm) to estimate and predict the...
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Full title
Combining Hyperspectral Reflectance and Multivariate Regression Models to Estimate Plant Biomass of Advanced Spring Wheat Lines in Diverse Phenological Stages under Salinity Conditions
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TN_cdi_doaj_primary_oai_doaj_org_article_46c540943c3b4840a1d3df775e293eed
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_46c540943c3b4840a1d3df775e293eed
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ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app12041983
