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Data mining is the art and science of intelligent analysis of (usually large) data sets for meaningful (and previously unknown) insights and is nowadays actively applied in a wide range of disciplines related to agriculture. Association Rule Mining is a powerful tool for generating rules from vast and diversified data such as agricultural datasets. Due to the emerging importance of data mining techniques and methodologies in the area of agriculture, this paper is a survey of some previous researches done in this field. For sustainable growth of agriculture, these methodologies need to be monitored and analyzed optimally.