| Abstract | In this paper the makers present irrefutably the most used data mining
strategies in the field of agriculture. A bit of these strategies, for example, the k-means, the k
nearest neighbor, artificial neural networks and support vector machines, are talked about and an
application in agriculture for every one of these methods is introduced. Data mining in
agriculture is a modestly novel exploration field. It is productive procedures can be made and
custom fitted for taking consideration of complex agricultural issues utilizing data mining. At the
finish of this outline we offer suggestions to future examination headings in agriculture-related
fields.
Keywords – [Data Mining, K-means-Nearest Neighbour, Artificial Neural network, support
vector machine, Agriculture.]
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