High-Throughput Prediction of Whole Season Green Area Index in Winter Wheat With an Airborne Multispectral Sensor

INTRODUCTION: In recent decades, the interest has grown to quantify the green area index as one of the key characteristics of crop canopies (e.g. for modelling transpiration, light interception, growth). The approach of estimating green area index based on multispectral reflection data from unmanned...

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Detalles Bibliográficos
Autores principales: Bukowiecki, Josephine, Rose, Till, Ehlers, Ralph, Kage, Henning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7033565/
https://www.ncbi.nlm.nih.gov/pubmed/32117350
http://dx.doi.org/10.3389/fpls.2019.01798

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7033565/
https://www.ncbi.nlm.nih.gov/pubmed/32117350
http://dx.doi.org/10.3389/fpls.2019.01798

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