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Trait-Dependent Effects of Band Selection on Predicting Soybean Biomass, Leaf Area Index, and Canopy Cover from Hyperspectral Reflectance

Predicting canopy traits non-destructively is important for understanding crop growth and improving phenotyping efficiency. Hyperspectral reflectance provides detailed spectral information, but the role of band selection in regression-based trait prediction at the canopy scale remains unclear. In th...

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Principais autores: Etsushi Kumagai, Takayuki Yabiku, Yusuke Masuya, Kensuke Kimura, Erina Fushimi, Ryosuke Nomiyama
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-07-01
Serier:Remote Sensing
Fag:
aboveground biomass
band selection
canopy cover
hyperspectral reflectance
leaf area index
soybean
Online adgang:https://www.mdpi.com/2072-4292/18/13/2179
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