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. 2026 Feb 9;26(4):1122. doi: 10.3390/s26041122
AI Artificial Intelligence
ANN Artificial Neural Networks
CNNs Convolutional Neural Networks
CWSI Crop Water Stress Index
DL Deep Learning
DNNs Deep Neural Networks
DQN Deep Q-Networks
EC Electrical Conductivity
EVI Enhanced Vegetation Index
Fv/Fm Chlorophyll fluorescence (variable fluorescence/maximum fluorescence)
GANs Generative Adversarial Networks
GNDVI Green Normalized Difference Vegetation Index
IoT Internet of Things
k-NN k-Nearest Neighbors
LST Land Surface Temperature
MCARI Modified Chlorophyll Absorption in Reflectance Index
ML Machine Learning
NA Not Available
NDRE Normalized Difference Red Edge
NDVI Normalized Difference Vegetation Index
NDWI Normalized Difference Water Index
PCA Principal Component Analysis
PRI Photochemical Reflectance Index
REIP Red-Edge Inflation Point
RDVI Renormalized Difference Vegetation Index
RF Random Forest
RGB Red, Green, and Blue (spectral bands/imaging)
RNNs Recurrent Neural Networks
RS Remote Sensing
SPAD (Type of meter used to measure relative chlorophyll content)
SVM Support Vector Machines
TD Temporal Difference
UAVs Unmanned Aerial Vehicles
VIs Vegetation Indices