DOI: 10.21276/sjpms.2018.5.2.4

Pages: 124-129

Farmers often encounter the problem of what to produce, how and when to produce it under a given set of resource restrictions. This problem is termed the farm planning problem. In this paper we develop an uncertain farm planning model for maximising expected total farm revenue. The wage-rates and the selling prices for crops are considered to be uncertain variables. In this paper we employ uncertainty theory to model the farm planning problem. The objective is to maximize the expected total farm revenue which is derived from taking the expectation of revenue plus labour earnings minus labour costs minus miscellaneous costs. The notion of inverse uncertainty distribution is used in calculating the expected costs and selling price. After taking the expectation, the objective function reduces to a deterministic function. A numerical example was solved in order to show the applicability of an uncertain farm planning problem.