Classifying cultivars of rice (Oryza sativa L.) based on corrected canopy reflectance spectra data using the orthogonal projections to latent structures (O-PLS) method-Reference-Cited by-同舟云学术

Classifying cultivars of rice (Oryza sativa L.) based on corrected canopy reflectance spectra data using the orthogonal projections to latent structures (O-PLS) method

Published:2012-06 Issue: Volume:115 Page:25-36
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Lin Wen-Shin,Yang Chwen-Ming,Kuo Bo-Jein

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference74 articles.

1. Metabolic profiling of transgenic rice with crylAc and sck genes: an evaluation of unintended effects at metabolic level by using GC-F1D and GC–MS;Zhou;J. Chromatogr. B,2009

2. Leaf area, light interception, and yield estimates from spectral components analysis;Wiegand;Agron. J.,1984

3. Comparison of linear statistical methods for calibration of NIR instruments;Næs;Appl. Stat.,1986

4. Analysis of spectral measurements in paddy field for predicting rice growth and yield based on a simple crop simulation model;Inoue;Plant Prod. Sci.,1998

5. Corn (Zea mays L.) yield prediction using multispectral and multidate reflectance;Chang;Agron. J.,2003

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