 This research paper proposes a new methodology for making informed decisions regarding crop management based on sub-seasonal climate predictions. It uses Bayesian modelling to identify the most important factors affecting crop yield, such as weather anomalies, and then incorporates these into a model that can provide accurate estimates of the economic optimal plant density, EOPD. This model can then be used to make more informed decisions regarding crop management, taking into account the potential impact of weather anomalies. This article was authored by Josefina Laquesa, Carlos de Messina, and Ignacio H. Ampiti.