The region from Boyaca is not aside from the negative effects of the climate change which generate problems to the agriculture, economic sector that receives the biggest impact. For that reason it is urgent to develop the Agrometeorological Prediction (PA), in order to adopt measures that allow to reduce the vulnerability of the sector before icy, long periods of summer or rains, etc.. In this context, the Groupof Artificial intelligence of the University Juan of Castellanos GIA-JDC, outlines this scientific project to improve the precision of the agrometeorological indicators by means of the developmentof a methodology that includes Artificial intelligence techniques (data Mining, diffuselogic and genetic algorithms). This article shows the first phase of the work, trying to expose where, how and when to apply the most out standing theory in the obtaining of knowledge and its incidence in the proposed methodology for the investigation development.