INPUT ANALYSIS USING SOIL CLASSIFICATION TECHNIQUES AND PREDICTING ITS EVOLUTION IN MOROCCO ORIENTAL TO CONVERSION WHEAT/OLIVE AT HORIZON 2020
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 5, Issue 9
Abstract
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 relatively 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
Authors and Affiliations
Imane Belabed*
Keywords
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- EP ID EP118158
- DOI 10.5281/zenodo.154196
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