Comparison of crop model validation methods

Cao, Hong-xin, Hanan, Jim Scott, Liu, Yan, Liu, Yong-xia, Yue, Yan-bin, Zhu, Da-wei, Lu, Jian-fei, Sun, Jin-ying, Shi, Chun-lin, Ge, Dao-kuo, Wei, Xiu-fang, Yao, An-qing, Tian, Ping-ping and Bao, Tai-lin (2012) Comparison of crop model validation methods. Journal of Integrative Agriculture, 11 8: 1274-1285. doi:10.1016/S2095-3119(12)60124-5

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Author Cao, Hong-xin
Hanan, Jim Scott
Liu, Yan
Liu, Yong-xia
Yue, Yan-bin
Zhu, Da-wei
Lu, Jian-fei
Sun, Jin-ying
Shi, Chun-lin
Ge, Dao-kuo
Wei, Xiu-fang
Yao, An-qing
Tian, Ping-ping
Bao, Tai-lin
Title Comparison of crop model validation methods
Journal name Journal of Integrative Agriculture   Check publisher's open access policy
ISSN 2095-3119
Publication date 2012-08
Sub-type Article (original research)
DOI 10.1016/S2095-3119(12)60124-5
Volume 11
Issue 8
Start page 1274
End page 1285
Total pages 12
Place of publication Oxford, United Kingdom
Publisher Elsevier
Collection year 2013
Language eng
Formatted abstract
In this paper, the many indices used in validation of crop models, such as RMSE (root mean square errors), Sd (standard error of absolute difference), da (mean absolute difference), dap (ratio of da to the mean observation), r (correlation), and R2 (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, dap between the observed and the simulated values, is proposed, with dap<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 da and dap; (2) calculating the RMSE or Sd; (3) calculating r and R2, at the same time, plotting 1:1 diagram.
Keyword Crop models
Validation methods
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

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Created: Fri, 22 Feb 2013, 13:32:26 EST by Jim Hanan on behalf of Qld Alliance for Agriculture and Food Innovation