Purpose The combination of machine learning (ML) and life cycle-based methodologies is a promising strategy to overcome some of the most relevant issues regarding carbon footprint (CF) calculation/prediction. This research presents an approach and a software tool to apply ML techniques with the aim of solving issues related to data availability in the life cycle inventory (LCI) and improving the accuracy of carbon footprint pr...

In vitro propagation, is becoming the predominant method for blackberry propagation due to its advantages compared to agamic traditional propagation methods. Synthetic seed technology represents a promising approach to further enhance the productivity of in vitro propagation facilitating the exchange of plant materials among laboratories and contributing to germplasm conservation efforts. This study aimed to establish an optim...