The milk production is strongly influenced by the dairy cow welfare related to a good nutrition and the analysis of the digestibility of feeds allows us to evaluate the health status of the animals. Through faeces’ visual examination it is possible to estimate the quality of diet fed in terms of lacking in fibre or too high in non-structural carbohydrates. The study was carried out in 2021, on four dairy farms in central Italy. The purpose of this work is the classification and evaluation of dairy cow faeces using RGB image analysis through an artificial intelligence (AI) (convolutional neural network (CNN)) algorithm. The main features to analyse are pH, colour and consistency. For the latter two RGB imaging was combined with deep learning and AI to reach objectivity in samples’ evaluation. The images have been captured with several smartphones and cameras, under various light conditions, collecting a data set of 441 images. Images acquired by RGB cameras are then analysed through CNN technology that extracts features and data previously standardized by a faecal score index assigned after a visual analysis and based on five classes. The results achieved with different training strategies show a training accuracy of 90% and a validation accuracy of 78% of the model which allow us to identify problems in bovine digestion and to intervene promptly in feed variation. The method used in this study eliminates subjectivity in field analysis and allows future improvement of increasing the data set to strengthen the model.

In this paper, we apply two novel methodological approaches, Tucker three-way principal component analysis and locally weighted principal component analysis, to construct financial conditions index for Eurozone countries. The aim is to point out how real and financial macroeconomic variables affect the credit channel and which variables are more relevant in each occasion, highlighting structural differences within the Eurozone. The results suggest that the Eurozone is involved into a low easing pattern, which is difficult to reverse and affects considerably the financial conditions, surrounding the hypothesis that this pattern has been worsened by structural differences between the European Monetary Union (EMU) countries. Empirical evidence shows that European Central Bank (ECB) policy has managed to cool financial tensions and has made financial conditions homogeneous, but it has not been able to restore them at a precrisis level.