TY - JFULL AU - M. Safa and S. Samarasinghe PY - 2010/1/ TI - Modelling of Energy Consumption in Wheat Production Using Neural Networks “Case Study in Canterbury Province, New Zealand“ T2 - International Journal of Agricultural and Biosystems Engineering SP - 914 EP - 919 VL - 4 SN - 1307-6892 UR - https://publications.waset.org/pdf/15114 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 48, 2010 N2 - An artificial neural network (ANN) approach was used to model the energy consumption of wheat production. This study was conducted over 35,300 hectares of irrigated and dry land wheat fields in Canterbury in the 2007-2008 harvest year.1 In this study several direct and indirect factors have been used to create an artificial neural networks model to predict energy use in wheat production. The final model can predict energy consumption by using farm condition (size of wheat area and number paddocks), farmers- social properties (education), and energy inputs (N and P use, fungicide consumption, seed consumption, and irrigation frequency), it can also predict energy use in Canterbury wheat farms with error margin of ±7% (± 1600 MJ/ha). ER -