Data Mining Tool for Agriculture Applications
Jyothi Patil, M. N. Murthy · 2008
This paper focuses on clustering in data mining. Clustering is a division of data into groups of similar objects. k_means clustering algorithm is used as a tool to cluster the weather data to develop an accurate and efficient weather prediction software for agriculture applications. The weather data contains date periodically observed with parameters temperature (min, max), rainfall, humidity (min, max). The Automatic weather prediction software is designed with user interaction to provide a period of observations such as weekly, fortnight, monthly, half yearly, yearly and so on, to make decision for required period for a particular region from which data is collected. k_means clustering algorithm clusters weather data on selected parameter.