A survey of data mining techniques applied to agriculture

A survey of data mining techniques applied to agriculture

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Article ID: iaor200971549
Country: Germany
Volume: 9
Issue: 2
Start Page Number: 121
End Page Number: 140
Publication Date: Aug 2009
Journal: Operational Research
Authors: , ,
Keywords: datamining
Abstract:

In this survey we present some of the most used data mining techniques in the field of agriculture. Some of these techniques, such as the k-means, the k nearest neighbor, artificial neural networks and support vector machines, are discussed and an application in agriculture for each of these techniques is presented. Data mining in agriculture is a relatively novel research field. It is our opinion that efficient techniques can be developed and tailored for solving complex agricultural problems using data mining. At the end of this survey we provide recommendations for future research directions in agriculture-related fields.

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