Detection of Wheat Powdery Mildew with Hyperspectral Remote Sensing Technology and Aerial Digital Image
Wheat powdery mildew, caused by Blumeria gramirtis f. sp. triciti, is one of the destructive foliar diseases in wheat. Assessment of the disease severity and its real-time distribution is important for disease control. In this study, hyperspectral remote sensing technology was employed to study the correlation between the canopy reflectance of infected wheat and disease index (DI). Our results showed that a significant correlation between the reflectance and DI was found at the wheat milk fdling stage.Furthermore, ground-based sensing observations revealed that near infrared band such correlation was higher than at red band. However, the correlation decreased in the order of red, green and blue bands when the aerial observations were taken place. A significant correlation exists between reflectance and normalized difference vegetation indices (NDVI). Our results showed that field wheat powdery mildew infection in a large geographical scale can be effectively assessed using non-destructive hyperspectral remote sensing technology.
wheat powdery mildew remote sensing reflectance digital image
QIAO Hongbo CHENG Dengfa
College of information and management science, Henan agricultural university, Zhengzhou, 450002 Institute of Plant Protection, State Key Laboratory for Biology of Plant Disease and Insect Pests,Ch
国际会议
2008 International Conference on IAEA(2008农业信息化、自动化与电气化国际会议)
镇江
英文
537-543
2008-11-01（万方平台首次上网日期，不代表论文的发表时间）