A modeling approach to evaluate the influence of the spatial and temporal size of an epidemiological surveillance network on phytosanitary treatments for crops
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A modeling approach based on dynamic Bayesian Network was implemented to simulate the evolution of health status of a set of canola fields considering various spatial and temporal sizes of Epidemio Surveillance Networks.
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2017-02-21



