Abstract: In this article, we propose an optimization framework that computes the allocation of irrigation machinery (agents) and water to arable fields by maximization of a profit function in a receding horizon fashion using realistic models for crop growth dynamics. A key advantage of the proposed framework is that it can use many of the existing crop growth models for prediction and hence can be applied to a wide variety of crops, soils, locations, and weather patterns. The output of the framework is a feasible allocation of agents to fields and deliv...
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Topics: 
Agricultural engineering
Mathematical optimization