Abstract— South Sulawesi is one of the soybean producer provinces in Indonesia. As in other tropical areas, South Sulawesi season comprises is dry and rainy seasons, so modeling of crops such as CropSyst can be very helpful in predicting planting time, providing irrigation, and applying the right fertilizer to get maximum soybean productivity. To apply the CropSyst model in the tropics such as South Sulawesi, calibration and validation of several plant parameters are required. Further calibration and validation results need to be tested to see the accuracy of predicting models. The results of soybean evaluation in South Sulawesi showed that RMSE (0.09 and 0.11), MBE (-0.01 and 0.11), MAE (0.08 and 0.11), and d (0.92 and 0.81) had values showing that CropSyst model accurately to predict grain yield of soybean in South Sulawesi.
Keywords— soybean, CropSyst, calibration, validation, evaluation.
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