Data Mining Techniques: A Tool For Knowledge Management System In Agriculture

摘要

Agriculture data is highly diversified in terms of nature, interdependencies and resources. For balanced and sustainable development of agriculture these resources need to be evaluated, monitored and analyzed so that proper policy implication could be drawn. Recently knowledge management in agriculture facilitating extraction, storage, retrieval, transformation, dissemination and utilization of knowledge in agriculture is underway. Data mining techniques till now used extensively in business and corporate sectors may be used in agriculture for data characterization, discrimination and predictive and forecasting purposes. Some use of data mining in soil characteristic evaluation has already been attempted. This paper attempts to bring out the characteristic computational needs of agriculture data which is essentially seasonal and uncertain along with some suggestion regarding the use of data mining techniques as a tool for knowledge management in agriculture.