A Swedish University project combines biogas, microbiology and artificial intelligence to improve the efficiency of biogas plants. Analysing weekly samples with advanced DNA sequencing technologies, the biology of the processes is monitored to prevent problems and optimise production, all thanks to a machine learning approach that identifies anomalies in order to intervene in a prompt manner. The goal is to allow plants to operate with a greater load and productivity, without fear of outages, thus ensuring economic and environmental benefits.