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Morphological Characterization of Three Legumes (Vicia spp.) in the Semi-Arid Region of Setif-Algeria using Fuzzy Logic Inference System

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Abstract (2. Language): 
In agriculture, prevention performance of a parcel is paramount. In this study, we tried to predict the yield from species of varieties of leguminous species in a semi-arid region. Several variables are taken into consideration as the number of leaf, flower, and stem ...etc. Since these variables are characterized by uncertainty and imprecision, we proposed a tool for data analysis based on artificial intelligence techniques, including the principles of fuzzy logic. The result was very satisfactory. Program established for predicting the performance of a plot just from imprecise inputs variables of the system
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