ARS |
Agricultural Research Service |
CMOS |
Complementary metal–oxide–semiconductor |
CNN |
Convolutional neural network |
CONUS |
Continental United States |
CSRL |
Cropping Systems Research Laboratory |
DFNN |
Deep fully connected neural network |
EDA |
Exploratory data analysis |
|
Crop evapotranspiration |
EXGI |
Excess green index |
LST |
Land surface temperature |
LSTM |
Long short-term memory |
MAE |
Mean absolute error |
MAPE |
Mean absolute percentage error |
MDPI |
Multidisciplinary Digital Publishing Institute |
ML |
Machine learning |
MLP |
Multi-Layer Perceptron |
MODIS |
Moderate Resolution Imaging Spectroradiometer |
MP |
Megapixels |
NDVI |
Normalized difference vegetation index |
RFR |
Random forest regression |
RGB |
Red, green, and blue |
ResNet |
Residual network |
RMSE |
Root-mean-square error |
RNN |
Recurrent neural network |
SGD |
Stochastic gradient descent |
SR |
Surface reflectance |
SVR |
Support vector regression |
THP |
Texas High Plains |
UAV |
Unmanned Aerial Vehicle |
US |
United States |
USDA |
United States Department of Agriculture |