The Application of Time Series Analysis Model in the Prediction of Rice Blast

Li Ying Cao; He Long Yu; Gui Fen Chen; Peng Sun

doi:10.4028/www.scientific.net/AMM.713-715.1955

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 713-715The Application of Time Series Analysis Model in...

The Application of Time Series Analysis Model in the Prediction of Rice Blast

Abstract:

The research of time series analysis model to predict the effect of rice blast, provides the reference for the prediction of the disease. In successive years of planting area and the rice blast incidence area as the original data,were used to establish the forecast model of time series analysis of moving average, exponential mean and variance analysis of periodic extrapolation of rice blast incidence, analysis its forecast results, and built at the beginning ofthe prediction was verified in application. The experimental results show that the time sequence analysis model can be used for long-term forecasting of rice blast.

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Periodical:

Applied Mechanics and Materials (Volumes 713-715)

Pages:

1955-1958

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.713-715.1955

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Online since:

January 2015

Authors:

Li Ying Cao*, He Long Yu, Gui Fen Chen, Peng Sun

Keywords:

Average Index, Moving Average, Rice Blast, Variance Analysis Period Extrapolation Method

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References

[1] Bloom F. Rice, races, and riches [J]. Science, 2000, 288: 973.

Google Scholar

[2] Talbot N. On the trail of a cereal killer; exploring the biology of Magnaporthe grisea [J]. An Nu Rev Microbiol, 2003. 57: 177-202.

DOI: 10.1146/annurev.micro.57.030502.090957

Google Scholar

[3] Thuan N, Bigirimana J N, Roumen E, et al. Molecular and pathotype analysisof the rice blast fungus in North Vietnam [J]. Eur J Plant Pathol, 2006, 114: 381-396.

DOI: 10.1007/s10658-006-0002-8

Google Scholar

[4] Dong Jixin, Dong Haitao, Li Debao. Research progress of rice blast resistance [J]. Journal of agricultural biotechnology, 2000, 8 (1): 99-102.

Google Scholar

[5] Li Zhaofeng, Hou Ligang, Zhang Xuejun et al. The occurrence and control of [J]. to rice blast and rice cultivation, 2006 (5): 58-60.

Google Scholar

[6] Zhang Xiaoxi, Zhang Yuejin. The crop pest forecast [M]. Beijing: ChinaAgricultural Press China, 2006: 441-449.

Google Scholar

[7] Wei Zhou will, Gong Shaohong, Feng Xiaoming. Time series neural network model [J]. irrigation of crop yield prediction, 2006 (6): 55-57.

Google Scholar

[8] Zhang Hexi, Yang Jing, Fang Xiaoyu, et al. Time series analysis in theprediction of soil water content on the application of the [J]. research of soil and water conservation, 2008, 15 (4): 82-84.

Google Scholar