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Data mining is an emerging field of research in Information Technology as well as in agriculture. The present study focus on the applications of data mining techniques in tea plantations in the face of climatic change to help the farmer in taking decision for farming and achieving the expected economic return. This paper presents an analysis using data mining techniques for estimating the future yield...
First order fuzzy time series (1st order FTS) is one of popular time series forecasting models. Since employing the first lag variable and using fuzzy logical relationship to derive the forecasting value, 1st order FTS is often unsuccessful in analyzing trend time series. On the other hand, moving averages can be used to quickly identify the direction of trend by smoothing the data. However, moving...
With the growing international food crisis, grain production and supply have become an important task. Information technology (IT) can help developing countries forecast their grain production. The Generalized Regression Neural Network (GRNN) model is a good technique for predicting grain production in rural areas. Using real agricultural data from Tianjin Binhai area, the agricultural production...
In order to realization electronic parts product appearance quality detection control, one kind of processor based on the intelligent knowledge automatic extraction and system intelligence modeling was presented. In the processor, wavelet-fuzzy technique and neural network technique are combined. Uses the fuzzy wavelet extraction image feature, and wavelet function is used as fuzzy membership function...
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