Canopy Hyperspectral Sensing of Paddy Fields at the Booting Stage and PLS Regression can Assess Grain Yield

Canopy Hyperspectral Sensing of Paddy Fields at the Booting Stage and PLS Regression can Assess Grain Yield

Canopy hyperspectral (HS) sensing is a promising tool for estimating rice (Oryza sativa L.) yield. However, the timing of HS measurements is crucial for assessing grain yield prior to harvest because rice growth stages strongly influence the sensitivity to different wavelengths and the evaluation pe...

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Bibliographic Details
Main Authors: Kensuke Kawamura, Hiroshi Ikeura, Sengthong Phongchanmaixay, Phanthasin Khanthavong
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Remote Sensing
Subjects:
Laos
partial least squares regression
proximal sensing
rice production
spectral assessments
Online Access:http://www.mdpi.com/2072-4292/10/8/1249

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