Established programs automate specific functionalities by providing instructions to technology based on environmental changes. This not only eliminates repetitive tasks but also minimizes human errors, boosting productivity and product quality. Managing the large volumes of waste generated by different sectors in urban areas is a major challenge. In concept of smart city, this management would be realized by the introduction of new technologies to improve quality of life in a sustainable way. The development of technologies is linked to waste variability. Organic wastes are treated by different ways, one of the ancestral and natural process is the anaerobic digestion. A process resulting in two products: a bioenergy product such as biogas and digestate that could be used as bioamendment and biofertilizer. Conception of intelligent and smart systems to improve biomethanation production is closely related to the choice of the right substrate composition among the high variability of organic wastes. The recovery of biogas is contingent on its methane content, which varies with the methanized substrate. Every feedstock has its own physico-chemical properties and its impact on the anaerobic digestion process. It can be evaluated by considering their methanogenic potential, by this way, every feedstock can be categorized to emphasize the most productive ones.