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Aquatic weeds are the greatest generator of biomass in aquatic environment which motivates using intelligent methods for the prediction and estimation of indicators that affect the growth of such weeds. In this study a set of new interpolation methods are used and assessed over the study area for predicting a set of chemical indicators that can predict and affect the growth of weeds. The used methods...