Welcome to Acta Agronomica Sinica，

Acta Agron Sin ›› 2007, Vol. 33 ›› Issue (01): 171-174.

• RESEARCH NOTES • Previous Articles    

Preliminary Hyperspectral Estimation Models for Crude Fat Content in Corn

YI Qiu-Xiang1,HUANG Jing-Feng1,WANG Xiu-Zhen2,QIAN Yi3   

  1. 1 Institute of Agricultural Remote Sensing & Information Technology, Zhejiang University, Hangzhou 310029, Zhejiang; 2 Zhejiang Meteorological Institute, Hangzhou 310004, Zhejiang; 3 Department of Environment and Resources, Xinjiang Agricultural University, Urumchi 830052, Xinjiang, China
  • Received:2005-11-28 Revised:1900-01-01 Online:2007-01-12 Published:2007-01-12
  • Contact: YI Qiu-Xiang

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Abstract:

The hyperspectral reflectances of leaf, stem, ear and sheath and corresponding crude fat content in six kinds of corn (Zea mays L.) were determined. Correlation between crude fat content and spectral measurements was calculated. The crude fat content of dried ground leaves was best predicted with the first derivative reflectance. Precision evaluation indicated that the exponential model derived from the first derivative reflectance at 1954 nm was the best for the estimation of corn crude fat content.

Key words: Corn, Spectral reflectance, First derivative of reflectance, Crude fat content

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