Statistical Models for Prediction of Dry Weight and Nitrogen Accumulation Based on Visible and Near-Infrared Hyper-Spectral Reflectance of Rice Canopies

Statistical Models for Prediction of Dry Weight and Nitrogen Accumulation Based on Visible and Near-Infrared Hyper-Spectral Reflectance of Rice Canopies

Much information is obtainable from hyper-spectral data, which measure solar radiation consecutively at less than about 10-nm intervals. In constructing statistical prediction models, however, problems of overfitting may arise due to the excessive number of variables, and multicollinearity may occur...

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Bibliographic Details
Main Authors: Wataru Takahashi, Vu Nguyen-Cong, Sachio Kawaguchi, Megumi Minamiyama, Seishi Ninomiya
Format: Article
Language:English
Published: Taylor & Francis Group 2000-01-01
Series:Plant Production Science
Subjects:
Cross-validation
Dry weight
Hyper-spectra
Nitrogen accumulation
PLS
Prediction model
Rice
Spectral measurement
Online Access:http://dx.doi.org/10.1626/pps.3.377

Internet

http://dx.doi.org/10.1626/pps.3.377

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