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蚕豆赤斑病流行趋势预报的模糊识别模式研究
引用本文:王昆 沈友康. 蚕豆赤斑病流行趋势预报的模糊识别模式研究[J]. 植物病理学报, 1995, 25(3): 279-284
作者姓名:王昆 沈友康
作者单位:1. 江苏省南通农业学校植保组, 南通 226007;2. 江苏省射阳县农业局, 射阳 224300;3. 江苏省射阳县大兴乡农科站, 射阳 224344
摘    要:
 本文应用频率圆盘法(模式Ⅰ)、样本圆盘法(模式Ⅱ)和模糊点聚法(模式Ⅲ(1)(2)),对射阳县蚕豆赤斑病流行趋势进行了模糊识别预报。结果表明:模式Ⅰ和模式Ⅲ(1)的符合率达100%,模式Ⅱ和模式Ⅲ(2)的符合率仅为50%。应用时,可首先考虑模式Ⅰ、Ⅲ(1)及其结果。

关 键 词:蚕豆赤斑病  流行趋势预报  模糊识别模式  

ON THE FUZZY RECOGNITION MODELS OF EPIDEMIC TREND FORECASTING OF CHOCOLATE SPOT OF BROAD BEAN(BOTRYTIS FABAE SARDINA)
Wang Kun. ON THE FUZZY RECOGNITION MODELS OF EPIDEMIC TREND FORECASTING OF CHOCOLATE SPOT OF BROAD BEAN(BOTRYTIS FABAE SARDINA)[J]. Acta Phytopathologica Sinica, 1995, 25(3): 279-284
Authors:Wang Kun
Affiliation:1. Nantong Agricultural School, Nantong, Jiangsu 226007;2. Agricultural Bureau of Sheyang County, Jiangsu 224300;3. Daxing Township Agricultural Research Station of Sheyang County, Jiangsu 224300
Abstract:
The Frequency-Disk Method (Model Ⅰ), Sample-Disk Method (Model Ⅱ), and Fuzzy Point -Clustering method (Model Ⅲ(1), Ⅲ(2)) had been applicated on the fuzzy recognition of epidemic trend forecasting of chocolate spot of broad bean (Botrytis fabae Sardina) in this paper. The results of the forecasting from 1988-1991 showed that the fit rate of the Model Ⅰ and Model Ⅲ(1) were all 100%, the fit rate of the Model Ⅱ and Model Ⅲ(2) were all 50%. Therefore, the Model Ⅰ and the Model Ⅲ(1) were thought first when we are forecasting application.
Keywords:Chocolate spot of broad bean (Botrytis fabae Sardina) Forecasting of epidemic trend Fuzzy recognition models
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