Yield Predication by DSSAT Model of Wheat Crop: A Review
International Journal of Environment and Climate Change · pp. 519–524 · Published 13 Feb 2024
10.9734/ijecc/2024/v14i23965Abstract
The DSSAT model predicts crop productivity under different crop management scenarios and fluctuating climate circumstances, necessitating the identification of a crop cultivar's genetic coefficient. The precision with which various parameters are calibrated and validated is essential to the effective application of crop models. The model was calibrated using the data on irrigation and nitrogen's impact on wheat yield, and it was validated using the date of sowing. The closer estimation of crop growth time, grain yields, and biomass yields was demonstrated by the model findings. The percentage error discrepancy between the simulated and actual wheat variety grain yields was 8.70% to 10.98%, respectively. There is a substantial correlation with a higher R2 value between the simulated and observed grain yields and crop duration during both the calibration and validation processes.
Cited by 3
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