Interpretable machine learning for origin classification of brazilian soybeans: A random forest and XAI-based approach
Khushboo Soni, Russell Frew, Biniam Kebede
eXplainable Artificial Intelligence (XAI) offers a powerful framework for enhancing the transparency and trustworthiness of machine learning models in highly regulated fields such as food traceability. In this study, we applied XAI techniques, SHAP (SHapley Additive exPlanations) and Partial Dependence Plots (PDPs), …
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1 citation
Journal of Food Composition and Analysis