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Abstract

Farm planning in the non-certain world is complex so that models which adequately represent this situation are difficult and expensive to experiment with. Thus a range of linear programming models based on simplifications has been suggested for planning under non-certainty. This discussion reviews the problem of farm system infeasibility which can arise from the Lise of these models and suggests an alternative approach.

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