Towards Automated and Interpretable Decision Support Systems for Precision Livestock Farming Using Evolutionary Computing

An interpretable AutoML framework based on evolutionary computing that automatically processes heterogeneous livestock data, including time series and static farm records, to generate compact and meaningful feature sets to create trustworthy artificial intelligence tools for livestock farming is proposed.