Name
Title | ||
|---|---|---|
Assimilation of field measured LAI into crop growth model based on SCE-UA optimization algorithm |
Abstract | ||
|---|---|---|
Assimilating external data into a crop growth model to improve accuracy of crop growth monitoring and yield estimation has been a research focus in recent years. In this paper, the shuffled complex evolution (SCE-UA) global optimization algorithm was used to assimilate field measured LAI into EPIC model to simulate yield, sowing date and nitrogen fertilizer application amount of summer maize in Huanghuaihai Plain in China. The results showed that RMSE between simulated yield and field measured yield of summer maize was 0.84 t ha-1 and the R2 was only 0.033 without external data assimilation. While the performances of EPIC model of simulating yield, sowing date and nitrogen fertilizer application amount of summer maize was better through assimilating field measured LAI into the EPIC model. The RMSE of between simulated yield and field measured yield of summer maize was 0.60 t ha-1 and the R2 was 0.5301. The relative error between simulated sowing date and real sowing date of summer maize was 2.28%. On the simulation of nitrogen fertilizer application rate, the relative error was -6.00% compared with local statistical data. These above accuracy could meet the need of crop growth monitoring and yield estimation at regional scale. It proved that assimilating field measured LAI into crop growth model based on SCE-UA optimization algorithm to monitor crop growth and estimate crop yield was feasible. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/IGARSS.2009.5417822 | IGARSS |
Keywords | Field | DocType |
optimisation,geophysics computing,crop growth monitoring,shuffled complex evolution global optimization algorithm,summer maize,epic,rmse,sowing date,yield estimation,china,data assimilation,optimization algorithm,nitrogen fertilizer application,leaf area index,crops,epic model,crop growth model,relative error,vegetation mapping,lai,huanghuaihai plain,assimilating field measurement,nitrogen,application software,agriculture,information management,satellites,remote monitoring,crop yield,global optimization | Leaf area index,Agronomy,Crop yield,Computer science,Crop,Remote sensing,Mean squared error,Fertilizer,Sowing,Data assimilation,Approximation error | Conference |
Volume | ISSN | ISBN |
3 | 2153-6996 | 978-1-4244-3395-7 |
Citations | PageRank | References |
1 | 0.48 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianqiang Ren | 1 | 49 | 9.27 |
| Fushui Yu | 2 | 1 | 0.82 |
| Yunyan Du | 3 | 34 | 11.76 |
| Jun Qin | 4 | 1 | 0.48 |
| Zhongxin Chen | 5 | 67 | 18.05 |