Remote Sensing Monitoring Of Wheat Yellow Rust And Development Of Network Platform For The Disease Information

Monitoring of wheat yellow rust is the basic work for the control of this disease. Good monitoring can help reduce the yield losses from the disease. In this study, unmanned air vehicle (UAV) was used for monitoring wheat yellow rust to evaluate application of UAV in monitoring of plant diseases. Thermal infrared remote sensing was used for inverting land surface temperature (LST), from which the over-summer areas were determined for the pathogen. A network platform based on the internet and mobile communications was constructed for information on wheat yellow rust. The results can be summarized as the followings:The Assess software was suitable for disease assessment of wheat yellow rust on one single leaf. The rate of correct classification of disease severity was over80%compared to visual assessment. Also, disease assessment for the whole diseased site was conducted. The image split was done first using Matlab software based on the green channel minus the red channel. Then the processed image was assessed by Assess. However, the correction rate was about67%, lower for diseased sites than for inidividul leaves.The unmanned air vehicle experiments (UVA) were conducted during2010-2011and2011-2012at Shangzhuang experiment station in Beijing. UVA with a digital camera was used forobtaining images of disease wheat plot which was inoculated with yellow rust. The relationship between the UVA digital image and disease severity was analyzed. The results revealed that UVA image could used for evaluating the severity of wheat yellow rust. Both the supervised and unsupervised classification could identify the yellow rust in the image. The diseased areas could be calculated by Envi software based the pixel. As the planting density and illumination factors, there was difference between pixel rate and plot disease severity. The formula Reflect=kxl/255x]/3(R+G+B) was used to invert the reflectance of canopy. And there was correlation between reflectance and disease data. However, the result model differed between years. The planting density and illumination factors may have contributed to the difference.Thermal infrared image from Landsat5for Longnan district in Gansu province was used for inverting land surface temperature (LST), from which over-summer areas were deduced for yellow rust fungi. The results showed that inverting of LST could objectively and rapidly reflect the temperature of high altitude and mountain areas and reflect the figure of geographical variation well. With Google earth software, the site could be located precisely to the village and the surrounding fields. This method could be used for the over-summer investigation and verification in the future.B/S (Brower/Server) framework was used for exchanging the network information. Java and JavaScript were used for developing the platform of wheat yellow rust monitoring based on Web technology. The platform has functions of searching, report and so on. And integrate Flex geographic information system. The current platform online has the following functions, wheat yellow rust monitoring (dynamic of physiological race, disease-resistant cultivar and planting area), prediction and forecasting of the disease and the IPM of wheat yellow rust disease. The mobile platform of wheat yellow rust was developed based on Android and IOS. The application could be installed in cell phone. Custom could browse the information, such as the disease information, plant protection information and communicate with the app. The mobile platform cover the shortage of Web, the custom could search and consult experts about the disease and production at any time.