Canonical deep learning-based Remaining Useful Life (RUL) prediction relies on supervised learning methods which in turn requires large data sets of run-to-failure to ensure model performance. In a class cases, is difficult collect practice as it may be expensive and unsafe operate assets until failure. As such, there need leverage that are not but still contain some measurable, thus learnable,...

this paper presents the results obtained from the life cycle assessment (lca) of the productionof sicilian artichokes (cynara scolymus) with the aim of reducing impacts, interpreting the results, suggesting possible improvements and enriching the sustainability knowledge already existing in the agro food field. artichokes represent one of the excellent italian agricultural products even if stil...