Table 5

Mean average error (MAE) (Mg/ha for yield and kg/vine) from cross-validation of four different models that used different inputs (M1 to M4) applied to two different regression approaches (stepwise-multivariate linear regression [S-MLR] and random forest regression [RFR]) across three years (2019 to 2021). The models were recalibrated for each year using the relevant available variables. The best-performing model in each year is indicated in bold; RFR results are in italics. The higher yield MAE in 2021 is associated with a much higher mean yield in this year.