Farm Planning by Augmented -constraint Approach (Case study of Pioneer farmers)

In current study, multi objective programming (MOP) model was used for a representative farm in tropical zone of Dashtestan, Bushehr. Four goals were considered in the model namely, maximizing total gross margin (GM), minimizing irrigation water, risk, and used chemical fertilizer and pesticides. The model was solved by weighting and augmented -constraint approaches in 18 and 42 various manners and a non-inferior solution obtained in each condition. The results indicated that, augmented -constraint in comparison with weighting method had less inadequacy and richer representation of the efficient set. Moreover, comparison of non-inferior solutions with farmer actual plan indicated that solutions in which goals of total GM maximization and minimization of risk have been emphasized were closer to actual plan.