当前位置: 首页 > 文章 > 利用贝叶斯(Bayesian)估计方法预测棉铃疫病的发生流行 上海交通大学学报(农业科学版) 1987 (3) 235-241
Position: Home > Articles > Forecast of the Cotton Phytophthora Boll Rot Epidemics by the Bayesian Estimation Method Journal of Shanghai Jiaotong University(Agricultural Science) 1987 (3) 235-241

利用贝叶斯(Bayesian)估计方法预测棉铃疫病的发生流行

作  者:
张大业;张家清
关键词:
贝叶斯估计;棉铃疫病;流行;预测
摘  要:
本文描述了贝叶斯估计理论的基本原理及其在植物病害流行预测中的应用。通过对上海郊区棉铃期引起烂铃的主要病害疫病流行的预测分析表明是适用的。预测的符合率达80%。与其它统计预报方法比较,运用贝叶斯估计方法进行病害预测具有简单、易行的优点。
译  名:
Forecast of the Cotton Phytophthora Boll Rot Epidemics by the Bayesian Estimation Method
作  者:
Zhang Daye Zhang Jiaqin (Institute of Plant Protection,Shanghai Academy of Agricultural Science)
关键词:
Bayesian estimation;;Cotton phytophthora boll rot;;Epidemics;;Forecast
摘  要:
The principle of the Bayesian estimation was used for forecasting the cotton phytophhtora boll rot epidemics in Shanghai.The test indicated that eighty percent of forecasting epidemics is identical with practical epidemics.In comparison with some other statistical prognosis methods,the Bayesian estimation is simple,easy,and suitable for the plant disease forecast.

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