用于冬小麦组分信息检测的便携式 LVF 光谱仪研究

摘要

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 .%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。