Nowadays, precision agriculture has acquired an important role in improving the existing problems in this domain, allowing to increase agricultural production and, therefore, the economic profits derived from it. The general objective of precision agriculture is to help and/or improve decision making regarding the quality, productivity, profitability, resource efficiency and sustainability of agricultural production. One way to carry out this objective is to analyze how suitable a type of crop is in the geographical area in which it is located. In this work, a Intelligent Data Analysis process is used and the study that should lead us to obtain knowledge of geographic regions with similar characteristics from climate viewpoint is started. This should allow us to advise farmers in areas with weather conditions that will cause a lower yields, which types of crops will lead to higher yields and could be well suited to their areas because they are getting good yield in zones with similar weather conditions.