期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2012
卷号：2
期号：1
页码：171-174
出版社：International Journal of Soft Computing & Engineering
摘要：In the present era entire world is focusing on agricultural development because of increased population and decreased agricultural production. Reason for decrease in production of agricultural products differs from place to place. The main aim here is to support the farmers in their decision making on which mechanism to choose best for a better productivity at their arms reach. The proposed system focused to increase the profit of the farmer by increasing the efficiency of agricultural input and reducing the cost and risk of production. This can be achieved by providing timely advice to the farmer like, dynamic weather forecasting and use of knowledge engineering to extract best suitable Agricultural information from various source. The PAP (Preprocess Associate and Predict) architecture is used for performing knowledge extraction and prediction process. This technique can handle all type of information.
