Machine learning-based crop recognition from aerial remote sensing imagery
Yanqin Tian(Chinese Academy of Sciences), Qing Zhang(Chinese Academy of Sciences), Xingrong Li(Wuhan University), Chenghai Yang(Agricultural Research Service), Jia Tang(Beijing Normal University), Wenjiang Huang(Chinese Academy of Sciences)
Cited by 20
Related Papers
Identification of yellow rust in wheat using in-situ spectral reflectance measurements and airborne hyperspectral imaging
|Precision Agriculture|2007|359
New Optimized Spectral Indices for Identifying and Monitoring Winter Wheat Diseases
|IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing|2014|209
Detecting powdery mildew of winter wheat using leaf level hyperspectral measurements
|Computers and Electronics in Agriculture|2012|188
Applying remote sensing techniques to monitoring seasonal and interannual changes of aquatic vegetation in Taihu Lake, China
|Ecological Indicators|2015|164
Using in-situ hyperspectral data for detecting and discriminating yellow rust disease from nutrient stresses
|Field Crops Research|2012|126