用于冬小麦组分信息检测的便携式LVF光谱仪研究  

Study on the Portable LVF Spectrometer Used in Components Information Detection of Winter Wheat

作　　者：于笑盈 史智兴[1] 赵勇[2] 李真[1,2] 罗斌[2] 王成[2] 

机构地区：[1]河北农业大学信息科学与技术学院,河北保定071000 [2]北京农业信息技术研究中心,北京100097

出　　处：《农机化研究》2015年第11期81-86,共6页Journal of Agricultural Mechanization Research

基　　金：国家"863计划"项目(2012AA10A503);北京市自然科学基金项目(4142019);农业部公益性行业(农业)科研专项(201003008-07)

摘　　要：小麦是我国主要的粮食作物,能够实时准确地对小麦进行长势监测具有重要意义。为此,介绍了一种自主研发的便携式LVF光谱仪的软硬件结构,采集冬小麦冠层叶片光谱数据,利用偏最小二乘法建立了冬小麦组分信息的内嵌反演模型,使其成为可以测量冬小麦叶片组分信息的专用型光谱仪。同时,用校验集对预测模型进行验证,相关系数分别达到0.906和0.876。结果表明:便携式LVF光谱仪在冬小麦叶片组分信息的检测方面是可行性的。Wheat is the main grain crops in China .It has an important significance to monitor the growth of wheat in real time and accurately .In this paper , the hardware system and the software system of a self-developed spectrometer named Portable LVF Spectrometer are introduced .Canopy spectral data of winter wheat was collected .Partial least squares method was used to establish prediction models of component information in winter wheat .This spectrometer embedded prediction models , make it become a special type of spectrometer which can measure component information of winter wheat leaves.To verify the prediction model with calibration set , the correlation coefficients were 0.906 and 0.876 re-spectively .The results showed that the portable LVF spectrometer was feasible in the detection of component information in winter wheat leaves .

关 键 词：冬小麦 便携式LVF光谱仪 叶绿素 水分 组分信息 

分 类 号：S126[农业科学—农业基础科学]