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Abstract-Biogas, a clean and renewable energy could be very well substitute for conventional sources of energy. In this study kitchen wastes potential for biogas production was investigated. Batch digestion experiments were accomplished in the laboratory using 1L capacity bottle reactors at ambient temperature, and the effect of some parameters such as solid waste concentration and sheep manure percentage on the gas production efficiency was investigated.Also an adaptive nero-fuzzy interference system (ANFIS) was proposed as a prediction model to predict biogas production through kitchen wastes digester.The selected experimental data were trained by a hybrid learning algorithm. The algorithm combines the forward pass and the backward pass. The developed model was validated and statistically analyzed using scatter diagram through actual and predicted data. The ANFIS predicted data demonstrated reasonable agreement with actual data.Index Terms-Kitchen waste, sheep manure, batch digestion.