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COMPARSION OF MULTISPECTRAL REFLECTANCE WITH DIGITAL COLOR IMAGE IN ASSESSING THE WINTER WHEAT NITROGEN STATUS

文献类型： 外文期刊

作者： Jia, Liangliang 2 ; Chen, Xinping 1 ; Li, Minzan 3 ; Cui, Zhenling 1 ; Zhang, Fusuo 1 ;

作者机构： 1.China Agr Univ, Coll Resources & Environm Sci, Beijing 100094, Peoples R China

2.Inst Agr Resources & Environm, Hebei Acad Agr & Forestry Sci, Shijiazhuang 050051, Peoples R China

3.China Agr Univ, Key lab Precis Agr, Beijing 100083, Peoples R China

关键词： Spectrum reflectance;Image analysis;Color intensity;Winter wheat

期刊名称：COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE II, VOLUME 2

ISSN： 1571-5736

年卷期： 2009 年 295 卷

页码：

收录情况： SCI

摘要： Previous researches have shown that the digital image color intensity could reflect the crops N status, but there is little information about the comparision of spectrum reflectance in the visible bands with the digital imagery color intensities. A field experiment was conducted to compare the wheat canopy reflectance at visible bands (400-700 nm) at shooting stage with near ground digital image to detect N deficiencies. Single color bands of R, G, B and ratio indices of G/R, G/B, R/B, R/(R+G+B), G/(R+G+B) and B/(R+G+B), which derived from digital image and spectral measurments, were regressed with wheat N status. The R, G, G/B, R/B, R/(R+G+B) and G/(R+G+B) all had negative correlations, while the G/R and B/(R+G+B) indices had positive correlations, with plant N status. For the B band, the digital image analysis data got positive correlations while the spectral measurements got negative correlations. With higher correlation coefficient than other indices, the R/(R+G+B) was the best index in this research. Considering the easiness of getting digital images and the accurate prediction of crops N status, the digital image analysis method seems to be a better way for in field plant N status evaluation.

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