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Input Analysis Using Soil Classification Techniques And Predicting Its Evolution In Morocco Oriental To Conversion Wheat/Olive At Horizon 2020

Domaine:

agriculture

Type de record:

paper
Créateur:
Ima
Éditeur:
Zenodo
Hôte:avatar
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

Visit

doi.orgzenodo.org

Tags

: Data mining, Classification, Regression, Soil tests, Coverage rate, Olive-wheat reconversion

Licenses

Creative Commons Attribution 4.0https://creativecommons.org/licenses/by/4.0Open Accessinfo:eu-repo/semantics/openAccess