The detection of effective factors in crop growth and the forecasting of crop yield under the ecologic factors by using of data mining approach in some areas of Iran

The main objective of this study was to identify risk factors for wheat under ecological factors in Iran's province for the period of ten years. The research method in this study of data mining. Knowledge discovery and data mining of reliable information hidden in databases. Or in other words the analysis of machine data to find useful patterns in large databases and new reliable, that is. Data mining or knowledge discovery in databases, a relatively new science that will influence the country's progress in the field of IT and the use of computer systems in industry and the creation of large databases by government departments, banks and the private sector need to it is deeply felt. The application of data mining in agricultural science a new method to predict the factors influencing the growth of plants. In this study, category (C5) is used to analyze the data direction of IBM Spss Modeler software is used. The study population consisted of the crop (wheat), relative humidity, cloudiness, precipitation, fertilizers hectare consumed.