Calculating transition-probabilities for modelling weed management options using stochastic dynamic-programming

Calculating transition-probabilities for modelling weed management options using stochastic dynamic-programming

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Article ID: iaor1997127
Country: United Kingdom
Volume: 41
Issue: 1
Start Page Number: 41
End Page Number: 52
Publication Date: Jan 1993
Journal: Agricultural Systems
Authors:
Keywords: programming: dynamic
Abstract:

A dynamic programme to optimise the farmer’s long-term weed management problem is described in general terms incorporating decisions of crop, autumn cultivation, timing of planting (winter and spring crops) and herbicide use. This paper concentrates on the formulation of one-step transition probabilities given the uncertain naure of herbicide performance. For a model considering one weed in a cereal rotation examples of the one-step transition probability matrices are given for wild oat control with and without a herbicide application.

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