摘要
小麦白粉病是小麦的主要病害之一,对粮食的生产有一定的影响。因此,对小麦白粉病的预测预报有着十分重要的意义。目前小麦白粉病的预报模型中多以气象环境作为主要的预报因子,主要通过数理统计、模糊数学理论、神经网络模型、灰色系统理论以及其他一些数学方法建模,取得了较为丰硕的成果。但这些方法也存在一些问题,在以后的研究中应进一步完善。
Wheat powdery mildew is one of the major diseases of wheat, and it makes some impacts on the food production. Therefore, it has a very important significance to the forecasting of wheat powdery mildew. Currently, there are a lot of forecasting models for wheat powdery mildew, and most of them are using meteorological environment factors as the major forecasting factors. The models use mathematical statistics, fuzzy theory, neural network model, gray system theory and other mathematical methods, and obtain more results. At the same time, there also have some problems of the models ; in the next studies, it should improve further.
出处
《气象与环境科学》
2013年第3期44-48,共5页
Meteorological and Environmental Sciences
基金
公益性行业(气象)科研专项(GYHY201006026)资助
关键词
小麦白粉病
预测预报
模型
wheat powdery mildew
forecasting
model
