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Field monitoring of wheat seedling stage with hyperspectral imaging

文献类型： 外文期刊

作者： Wu Qiong 1 ; Wang Cheng 2 ; Fang Jingjing 1 ; Ji Jianwei 1 ;

作者机构： 1.Shenyang Agr Univ, Coll Informat & Elect Engn, Shenyang 1008611, Peoples R China

2.Beijing Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China

关键词： wheat seedling;monitoring;ASD;hyperspectral imaging;partial least squares

期刊名称：INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING （ 影响因子：2.032； 五年影响因子：2.137 ）

ISSN： 1934-6344

年卷期： 2016 年 9 卷 5 期

页码：

收录情况： SCI

摘要： Nutrient elements such as chlorophyll, nitrogen and water at the seedling stage are important key factors that could influence growth, development and even the final yield of wheat. In this study, the spectral data of canopy and single wheat plant leaves at seedling stage were acquired in field by using ASD non-imaging hyperspectrometer and imaging spectrometer respectively to establish prediction models for monitoring the growth at the seedling stage of wheat. According to the comparative analysis of models results built through partial least square algorithm (PLS), it was found that the models built using spectral data of canopy based on ASD non-imaging hyperspectrometer and imaging spectrometer both had low precision, which was possibly caused by background such as soil; while the model established from single wheat plant leaves based on the imaging spectrometer had a better effect. At last, the PLS model was established for chlorophyll SPAD value of wheat seedling leaves based on imaging spectrometry and its correlation coefficient R reached 0.8836, and the correlation coefficient R of the relevant model for nitrogen content was 0.8520, suggesting that the superiority of location monitoring of growth at seedling stage of wheat based on hyperspectral imaging is significant.

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