| AB | adaptive boosting |
| ABC | artificial bee colony |
| AI | artificial intelligence |
| ANFIS | adaptive network-based fuzzy inference system |
| ANN | artificial neural network |
| BN | Bayesian network |
| BNN | Bayesian neural network |
| BNPK | Bayesian network model fusing prior knowledge |
| BP-ANN | back propagation artificial neural network |
| BPNN | back propagation neural network |
| BayesR | Bayesian mixture model |
| CGBN | conditional Gaussian Bayesian network |
| CNN | convolutional neural network |
| CS | cuckoo search |
| CVS | computer vision system |
| DAL_CL | deep attention layer-based convolutional learning |
| DCNN | deep convolutional neural network |
| DE | differential evolution |
| DNN | deep neural network |
| DNN-MCP | MCP regularization for sparse deep neural network |
| DR | dimensionality reduction |
| DS | data science |
| DT | decision tree |
| FFM | feature fusion module |
| ELM | extreme learning machine |
| GA | genetic algorithm |
| GBLUP | genomic best linear unbiased predictor |
| GP | Gaussian processes |
| GS | greed search |
| Hy-CNN | hybrid convolutional neural network |
| K2 | K2 algorithm for Bayesian network structure |
| KNN | k-nearest neighbours |
| LDA | linear discriminant analysis |
| LightGBM | light gradient boosting machine |
| LR | logistic regression |
| LP | linear programming |
| J48 | J48 decision tree |
| MCP | minmax concave penalty |
| ML | machine learning |
| MLP | multilayer perceptron |
| MLR | multiple linear regression |
| MOB | model-based recursive partitioning |
| MODAS | multi-omics data association studies |
| MODIS | moderate resolution imaging spectra radiometer |
| MOLO | multi-objective local optimization |
| NIR | near-infrared spectroscopy |
| NN | neural network |
| OLR | optimal linear regression |
| PC | Phenocentric |
| PLS | partial least squares regression |
| PLS-DA | partial least-squares discriminant analysis |
| PLSR | partial least squares regression |
| QDA | quadratic discriminant analysis |
| R2 | determination coefficient |
| RF | random forest |
| RF-r | random forest regression |
| RMSE | root-mean-square error |
| RNN | recurrent neural network |
| ResNet | residual network |
| SA | simulated annealing |
| SNP | single nucleotide polymorphism |
| ST | Swin Transformer |
| SVM | support vector machine |
| SVR | support vector regression |
| TL | transfer learning |
| XGBoost | extreme gradient boosting |