fuzzy time series model toaurora forecastt rice production是不是sci

Nature and Science
Applying Non-stable Time Series Model to Forecast the
Groundwater Dynamic Variation in the Well-Irrigated Rice Area in
Sanjiang Plain
Qiang Fu1,2 , Wei Zu
Groundwater shortage has become a very serious problem& in Sanjiang Plain. More and more
so-called &funnels& and &hanging pumps& situations occurred due to water shortages. The overall trend of
groundwater level has decreased continually over the years.& In this study, the Chuang Ye Farm in Jian
San& Jiang Department was taken as an example to develop a non-stable time series random model by
applying the random analysis method. The model was& used to simulate the dynamic variation and
forecast the trend in the& future. This study aims to provide a& better& understanding& for the sustainable
development of agriculture and use of groundwater resources. [Nature and Science. ):55-61].
Key Word : non-stab well- Sanjiang Plain
Volume 2, Number 3, October 2004 , ISSNThis website uses cookies to ensure you get the best experience on our website君,已阅读到文档的结尾了呢~~
Application of Weighted Fuzzy Time Series Model to Forecast
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Application of Weighted Fuzzy Time Series Model to Forecast
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A Novel Method for Rice Production Forecasting Using Fuzzy Time Series
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Present study provides some modified techniques for time series based forecasting for forecasting the yield of any crop year. Our study can help in inventory management of rice yield and for management of storage space. We are using the data of previous years and proposing a new method by using the fuzzy time series forecasting technique.
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