China
Hangzhou Dianzi University
Convolutional neural network, gaussian process regression, spectral index, competitive adaptive reweighted sampling, transfer learning, leaf chlorophyll content
ground-based, non-imaging multi-spectral, digital image, radiometric calibration, growth status
WSM, WSMV, wheat curl mite, NOAA MRMS MESH, meteorology, NDRE, satellite imagery, yield loss
Tea anthracnose, multi-sources habitat factors, spatiotemporal phenological corrections, AGDD, disease forecasting model