Genetic algorithm-based partial least squares regression for estimating legume content in a grass-legume mixture using field hyperspectral measurements-Reference-Cited by-同舟云学术

Genetic algorithm-based partial least squares regression for estimating legume content in a grass-legume mixture using field hyperspectral measurements

Published:2013-08-22 Issue:3 Volume:59 Page:166-172
ISSN:1744-6961
Container-title:Grassland Science
language:en
Short-container-title:Grassl Sci

Author:

Kawamura Kensuke¹,Watanabe Nariyasu²,Sakanoue Seiichi²,Lee Hyo-Jin¹,Lim Jihyun¹,Yoshitoshi Rena¹

Affiliation:

1. Graduate School for International Development and Cooperation (IDEC); Hiroshima University; Higashi-Hiroshima; Japan

2. National Agriculture and Food Research Organization (NARO) Hokkaido Agricultural Research Center; Sapporo; Japan

Publisher

Wiley

Subject

Plant Science,Agronomy and Crop Science,Ecology, Evolution, Behavior and Systematics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/grs.12026/fullpdf

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4. Performance of some variable selection methods when multicollinearity is present;Chong;Chemom Intell Lab Syst,2005

5. Potential of near-infrared reflectance spectroscopy and chemometrics to predict soil organic carbon fractions;Cozzolino;Soil Tillage Res,2006

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