INPUT ANALYSIS USING SOIL CLASSIFICATION TECHNIQUES AND PREDICTING ITS EVOLUTION IN MOROCCO ORIENTAL TO CONVERSION WHEAT/OLIVE AT HORIZON 2020

Agronomic and pastoral research in East Morocco depend an evolution in time and space of the soil which is an important factor otherwise, limiting plant cover. Thus, a chemical and physicochemical soil study was assisted by advanced techniques such as data mining. Today, data exploitation on a global scale are used in a large number of vast agribusiness operating areas. Products of computer operating systems and specific domain data extrapolation are applicable across disciplines, however they are still rel atively new on agricultural . Hence a lack of bibliographic data is recorded. This research aims to analyze soil data using classification techniques. It focuses on soil classification using various algorithms.