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The role of a novel normalized dynamically adjusted vegetation index (NDAVI) based on remotely sensed absorption coefficient for estimating crop fAPAR: a case study of rice (Oryza sativa L.)

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Published in:Plant Phenomics
Format: Online Article RSS Article
Published: 2025
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container_title Plant Phenomics
description
discipline_display Agriculture & Food Sciences
discipline_facet Agriculture & Food Sciences
format Online Article
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genre Journal Article
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institution FRELIP
journal_source_facet Plant Phenomics
publishDate 2025
publishDateSort 2025
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spellingShingle The role of a novel normalized dynamically adjusted vegetation index (NDAVI) based on remotely sensed absorption coefficient for estimating crop fAPAR: a case study of rice (Oryza sativa L.)
AI and Smart Agriculture
AI and Smart Agriculture
Agriculture & Food Sciences
sub_discipline_display AI and Smart Agriculture
sub_discipline_facet AI and Smart Agriculture
subject_display AI and Smart Agriculture
AI and Smart Agriculture
Agriculture & Food Sciences
AI and Smart Agriculture
AI and Smart Agriculture
Agriculture & Food Sciences
subject_facet AI and Smart Agriculture
AI and Smart Agriculture
Agriculture & Food Sciences
title The role of a novel normalized dynamically adjusted vegetation index (NDAVI) based on remotely sensed absorption coefficient for estimating crop fAPAR: a case study of rice (Oryza sativa L.)
title_auth The role of a novel normalized dynamically adjusted vegetation index (NDAVI) based on remotely sensed absorption coefficient for estimating crop fAPAR: a case study of rice (Oryza sativa L.)
title_full The role of a novel normalized dynamically adjusted vegetation index (NDAVI) based on remotely sensed absorption coefficient for estimating crop fAPAR: a case study of rice (Oryza sativa L.)
title_fullStr The role of a novel normalized dynamically adjusted vegetation index (NDAVI) based on remotely sensed absorption coefficient for estimating crop fAPAR: a case study of rice (Oryza sativa L.)
title_full_unstemmed The role of a novel normalized dynamically adjusted vegetation index (NDAVI) based on remotely sensed absorption coefficient for estimating crop fAPAR: a case study of rice (Oryza sativa L.)
title_short The role of a novel normalized dynamically adjusted vegetation index (NDAVI) based on remotely sensed absorption coefficient for estimating crop fAPAR: a case study of rice (Oryza sativa L.)
title_sort the role of a novel normalized dynamically adjusted vegetation index (ndavi) based on remotely sensed absorption coefficient for estimating crop fapar: a case study of rice (oryza sativa l.)
topic AI and Smart Agriculture
AI and Smart Agriculture
Agriculture & Food Sciences
url https://www.sciopen.com/article/10.1016/j.plaphe.2025.100128