| 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 |