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Integrating Growth and Environmental Parameters to Discriminate Powdery Mildew and Aphid of Winter Wheat Using Bi-Temporal Landsat-8 Imagery

Huiqin Ma, Wenjiang Huang, Yuanshu Jing, Chenghai Yang, Liangxiu Han, Yingying Dong, Huichun Ye, Yue Shi, Qiong Zheng, Linyi Liu, Chao Ruan
2019 Remote Sensing  
In this study, we developed an approach for discriminating crop diseases and pests based on bi-temporal Landsat-8 satellite imagery integrating both crop growth and environmental parameters.  ...  As a case study, the approach was applied to data during a period of typical co-epidemic outbreak of winter wheat powdery mildew and aphids in the Shijiazhuang area of Hebei Province, China.  ...  Figure 3 . 3 Flowchart for constructing discrimination model for powdery mildew and aphid using bi-temporal Landsat-8 imagery integrating growth indices and environmental factors at regional scales.  ... 
doi:10.3390/rs11070846 fatcat:2ujuho66pvg6fpsgy6zrdg6hvm

Sensing technologies for precision specialty crop production

W.S. Lee, V. Alchanatis, C. Yang, M. Hirafuji, D. Moshou, C. Li
2010 Computers and Electronics in Agriculture  
to implement in the field scale and more complex to interpret.  ...  Some of the challenges and considerations on the use of these sensors and technologies for specialty crop production are also discussed.  ...  Franke and Menz (2007) evaluated high resolution QuickBird satellite multispectral imagery and airborne HyMap hyperspectral imagery for detecting powdery mildew and leaf rust in winter wheat and their  ... 
doi:10.1016/j.compag.2010.08.005 fatcat:tesilbgowvf3vplcwgbcevmhyy