无人机遥感监测小麦条锈病初探

Preliminary study on monitoring wheat stripe rust with using UAV

由条形柄锈菌小麦专化型（Puccinia striiformisf．sp．tritici）引起的小麦条锈病是我国重要的小麦病害之一，该病害是一种气传病害，在适宜条件下能够在短时间内大规模流行成灾。

To explore the potential application of unmanned aerial vehicle （UAV） on monitoring wheat stripe rust caused by Puccinia striiformis f. sp. tritici, the image of wheat plots was obtained at the UVA platform. Correlation analyses between disease indexes of stripe rust and four kinds of the reflectance, i.e. the canopy reflectance and the reflectances in red, green and blue band extracted from the image, were conducted. The estimation models between disease indexes and each kind of the reflectance were built using linear regression method. The results showed that there was an extremely significant difference between the reflectances of diseased wheat plots and healthy plots. Disease indexes had positive correlation with the four kinds of the re- flectances. Disease index was best fitted by the model with the reflectance in red band as independent variable. The diseased and the healthy areas in the UAV image were distinguished by using ISODATA method. The re- sults indicated that UVA-based monitoring of wheat stripe rust was feasible and image analysis technologies could play a potential role in the monitoring process.