Journal
JOURNAL OF INTEGRATIVE AGRICULTURE
Volume 11, Issue 8, Pages 1274-1285Publisher
ELSEVIER SCI LTD
DOI: 10.1016/S2095-3119(12)60124-5
Keywords
crop models; validation methods; comparison
Categories
Funding
- National High-Tech RD Program [2006AA10Z230, 2006AA10Z219-1]
- National Natural Science Foundation of China [31171455]
- Jiangsu Province Agricultural Scientific Technology Innovation Fund, China [CX (10)221, CX (11)2042]
- Agricultural Scientific Technology Support Program, Jiangsu Province, China [BE2008397, BE2011342]
- No-Profit Industry (Meteorology) Research Program, China [GYHY201006027, GYHY201106027]
- Jiangsu Government Scholarship for Overseas Studies, China
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In this paper, the many indices used in validation of crop models, such as RMSE (root mean square errors), S-d (standard error of absolute difference), d(a) (mean absolute difference), d(ap) (ratio of d(a) to the mean observation), r (correlation), and R-2 (determination coefficient), are compared for the same rice architectural parameter model, and their advantages and disadvantages are analyzed. A new index for validation of crop models, d(ap) between the observed and the simulated values, is proposed, with d(ap)<5% as the suggested standard for precision of crop models. The different kinds of validation methods in crop models should be combined in the following aspects: (1) calculating d(a) and d(ap); (2) calculating the RMSE or S-d; (3) calculating r and R-2, at the same time, plotting 1:1 diagram.
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