小麦是人类主要食物来源之一, 广泛分布于世界各地。赤霉病是小麦的主要病害, 目前赤霉病的检测技术无法实现小麦快速、无损的在线检测。为了研究短波红外成像光谱技术应用于小麦赤霉病检测的可行性, 基于LabVIEW开发专用于样品检测的数据采集系统, 利用短波红外光谱仪获取样本光谱图像并进行数据分析与处理。实验数据表明: 赤霉病小麦种子与健康小麦种子的短波红外光谱图像在1350~1600nm光谱范围内谱线数据特征差异明显, 证明短波红外成像光谱技术应用于小麦赤霉病的检测具有一定的推广应用性。

Wheat is one of the main food sources of human beings and is widely distributed throughout the world. Scab is the main disease of wheat. At present, the detection technology of scab can not achieve rapid and non-destructive online detection of wheat. The feasibility of short-wave infrared imaging spectroscopy for the detection of wheat scab is studied. Based on LabVIEW, a data acquisition system dedicated to sample detection was developed. The short-wave infrared spectrometer was used to acquire the sample spectrum image and analyze and process the data. Experimental data shows that the short-wave infrared spectrum of scab wheat seeds and healthy wheat seeds showed significant differences in spectral data between 1350nm and 1600nm. It is proved that short-wave infrared imaging spectroscopy has certain application and application in the detection of wheat scab.