Comparison of statistical indices for the evaluation of crop models performance

This study presents a comparison of the usual statistical methods used for crop model assessment. A case was conducted using data set from observations total dry weight in diploid potato crop, and six simulated sets derived observationsaimed to predict measured data. Statistical indices such as coefficient determination, root mean squared error, relative index agreement, modified revised modeling efficiency, efficiency were compared. The results showed that determination is not useful evaluation. error together with offer an excellent notion how deviated simulations are same unit variable percentage terms, they leave no doubt when evaluating quality model.