| AI | artificial intelligence |
| ML | machine learning |
| DL | deep learning |
| NLP | natural language processing |
| PCA | principal component analysis |
| PCs | principal components |
| PCoA | principle coordinate analysis |
| OTUs | operational taxonomic units |
| SVM | support vector machine |
| RF | random forest |
| ANN | artificial neural network |
| CNNs | convolutional neural networks |
| RNNs | recurrent neural networks |
| SNPs | single nucleotide polymorphisms |
| LSTM | long short-term memory |
| ITS | internal transcribed spacer |
| RDP | ribosome database project |
| NB | Naive Bayesian |
| ARGs | antibiotic resistance genes |
| ACC | 1- aminocyclopropane-1-carboxylic acid |
| PGPRs | plant growth promoting rhizobacteria |
| SynComs | synthetic microbial communities |
| MAS | marker-assisted selection |
| GP | genomic prediction |
| GBLUP | genomic best linear unbiased prediction |
| LMM | linear mixed model |
| RKHS | reproducing kernel Hilbert spaces |
| GTB | Gradient Tree Boosting |
| FHB | Fusarium head blight |
| DON | deoxynivalenol |
| CYMMIT | International Maize and Wheat Improvement Center |
| MS | mass spectrometry |
| NMR | nuclear magnetic resonance |
| STRNN | spatial–temporal recurrent neural network |