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Diagnosis of Nitrogen Content in Upper and Lower Corn Leaves Based on Hyperspectral Data

文献类型： 外文期刊

作者： Jin Liang 1 ; Hu Ke-lin 1 ; Tian Ming-ming 1 ; Wei Dan 1 ; Li Hong 3 ; Bai You-lu 3 ; Zhang Jun-zheng 4 ;

作者机构： 1.China Agr Univ, Coll Resource & Environm Sci, Beijing 100193, Peoples R China

2.Heilongjiang Acad Agr Sci, Inst Soil Fertilizer & Environm Resources, Harbin 150086, Peoples R China

3.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China

4.Harbin Inst Technol, Harbin 150001, Peoples R China

关键词： Spectral analysis;Nutrition diagnosis;GNDVI

期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）

ISSN： 1000-0593

年卷期： 2013 年 33 卷 4 期

页码：

收录情况： SCI

摘要： Based on the spectral characters of corn leaf nitrogen content in the space, the spectral models for rapid estimating crop nitrogen content were set up, which is practically meaningful to effectively providing the guidance in fertilization. Spectral technology was applied to explore corn leaves nitrogen content distribution regularity and the relationship between the nitrogen content and plant index was analysed and then the estimation models were built. The results showed N content in upper leaves is higher than that in lower leaves in four growing stages; lower leaves at tassel emerge stage are sensitive to nitrogen losses, which could be used in guiding fertilization in grain production; optimum estimation models were built atjointing stage, the full-grown stage and tasseling stage, The research results provided the proof of crop nutrient analysis and rational fertilization.

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