波谱成像技术在作物病害信息早期检测中的研究进展

Research Development of Spectral Imaging Technology in Early Detection of Botanical Diseases

摘要:

阐述了波谱成像技术在作物病害信息早期检测方面的研究进展。作物病害是制约农业生产稳定发展的重要因素。实时、灵敏、可靠的作物病害检测和防治是进行科学的作物生产管理的基础。利用多光谱图像、高光谱图像、热红外图像等波谱成像技术,结合作物病理学以及化学计量学的方法，对感病植株进行早期检测，建立能准确反映作物病害的检测模型和病害程度的定量描述模型，对提高作物抗病机制的研究，科学指导作物生产具有重要的意义。

Abstract:

The research achievements of spectral imaging technology in early detection of botanical diseases were briefly summarized. The plant disease is an important factor that restricts the steady development of agriculture. It is fundamental to botanical production and management to utilize real-time, sensitive, stable detection and prevention methods. Combined multi-spectral images, hyperspectral images, infrared thermal images with plant pathology as well as chemometrics, infected plants can be detected in early stage by spectral imaging technology. It is very meaningful to build a quantitative model that can reflect botanical diseases and its extent precisely.