Influence of Historical Meteorological Data Processing in a Mobile Application of Weather Prediction, based on Data Mining

In the city of Andahuaylas Peru, agricultural region, the conditions of the weather and especially the temperature is decisive for the success or failure of the agricultural campaigns, on the other hand the information of UV radiation conditions the prevention of health and life in general, this information is shown by free internet services, but in a wrong way, because it comes from a remote location of the city of Andahuaylas and also does not provide detailed predictions for proper decision making, in this way the present investigation had the purpose of evaluating the influence of historical meteorological data processing on the efficiency of a mobile application of prediction of temperature and UV radiation, which provides real, updated and predicted information of the weather of the city of Andahuaylas, for it was used the historical and current data of the meteorological station of the National University José María Arguedas of Andahuaylas, which were analyzed using data mining to obtain efficient prediction models and were subsequently implemented in the mobile application. To measure the efficiency of the prediction, we compared the mean absolute errors of the models used by the National Service of Meteorology and Hydrology of Peru, of the cities of Arequipa, Iquitos and Lima, with values of 1.24, 2.66 and 1.485 respectively and the mean absolute error of the prediction model of the mobile application with a value of 1.18, which verifies the efficiency of the proposed model and is the expected result.