Application Meta-Goal Programming in Agriculture Case Study: Neyshabour City

In a region, optimal allocation of lands to various agricultural products is one of the most important issue associated with optimal use of agricultural resources. Meta-Goal Programming is one of the multiple criteria decision models. This Programming provides more flexible decisions for decision makers than other goal Programming. In the current study, optimal cropping pattern was determined using Goal and Meta-Goal Programming for agriculture in Neyshabour district. Results showed that, the total cultivated area is estimated less in the Goal Programming than Meta-Goal Programming. Furthermore, the cultivated area of wheat was estimated as the largest area in the all optimal cropping pattern. Considering the huge changes in the policies associated with allocation of resource subsidies and a sharp reduction in the water resources during the recent years, the study recommends using the optimal cropping pattern by which goal deviation is assumed low.

Keywords:

Meta-Goal Programming , Optimal cultivation pattern , Neyshabour