Using Cross ‐ Validation to Evaluate Ceres ‐ Maize Yield Simulations within a Decision Support System for Precision Agriculture

@inproceedings{Thorp2007UsingC,
  title={Using Cross ‐ Validation to Evaluate Ceres ‐ Maize Yield Simulations within a Decision Support System for Precision Agriculture},
  author={Kelly R. Thorp and Willam David Batchelor and Joel O. Paz and Amy L Kaleita},
  year={2007}
}
Crop growth models have recently been implemented to study precision agriculture questions within the framework of a decision support system (DSS) that automates simulations across management zones. Model calibration in each zone has occurred by automatically optimizing select model parameters to minimize error between measured and simulated yield over multiple growing seasons. However, to date, there have been no efforts to evaluate model simulations within the DSS. In this work, a model… CONTINUE READING

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