The research will investigate the impact of using different types of waste to feed anaerobic digestors, along with computational tools for site-wide optimisation. Using sensors from across the value chain and information from sampling the microbes, the team will create virtual copies of the digestors (digital twins), which will enable AI systems to learn about the impacts of different feedstocks and early indicators of change.