ORYZA (v3) rice crop growth modeling for MR269 under nitrogen treatments: assessment of cross-validation on parameter variability

• Main Authors: Nurulhuda, Khairudin, Muharam, Farrah Melissa, Shahar, Nurul Aina Najwa, Che Hashim, Muhamad Faiz, Ismail, Mohd Razi, Keesman, Karel J., Zulkafli, Zed
• Format: Article
• Published: Elsevier 2022
• Online Access: http://psasir.upm.edu.my/id/eprint/102428/; https://www.sciencedirect.com/science/article/pii/S0168169922001260

Complex rice crop models are sometimes evaluated with limited data. A one-round validation approach is typically used, in which data is arbitrarily divided into two or more mutually exclusive sets. Some sets are used for calibration, while others are used for validation. It is unknown whether a more...