This study was conducted on irrigated wheat fields of Himalayan Tarai region in order to assess and model the energy consumption in wheat crop production. Total 250 farmers from different land holding categories were interviewed and information on their education level, annual income and their resources and agricultural practices for crop production were collected. Accordingly, several direct and indirect factors were used to produce an ANN model to predict energy use in wheat production. The study illustrates that the total energy consumption in wheat production was 23,947.7 MJ/ha. The direct energy sources like diesel and electricity account only 34.6% of total energy sources. Fertilizers consumed maximum energy in all categories of farmers followed by harvesting and threshing. The developed ANN model can precisely predict energy consumption based on farm size and crop area, level of education of farmer and irrigation frequency. The final ANN infrastructure was simulated to generate output energy predictions. Simulation results showed that the ANN model with 5-30-15-1 infrastructure was the best one to predict the input energy in wheat crop production. Model predicted data was able to precisely explain 97.50% of the experimental results for output energy.