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Biomass, as an alternative source of energy, can be converted into biogas through the anaerobic digestion of organic material. The device used for this purpose is called biodigestor, and several protocols have been studied aimed at estimating the volume and quantity of the gas obtained. These protocols use a combination of the origin of the biomass and equations involving environment temperature, biological load and retention time. The treatment of rganic residues and the systematization of the activity on livestock farms requires the intervention of expert users or the implementation of intelligent systems, which allow for quantitative and qualitative variables.In this paper, we use Artificial Neural Networks (ANN) to estimate the production volume of a bio-digester ball.The networks are designed for this use on both livestock and farming residues. The efficiency of the estimation is evaluated using R Correlation Coefficient. Results show that the technique is reliable and can be used in practice.

Estimación del volumen de un Biodigestor tipo balón usando redes neuronales artificales