Abstract: The problem of the knowledge acquisition and efficient knowledge exploitation is very popular also in agriculture area. One of the methods for knowledge acquisition from the existing agricultural databases is the methods of classification. In agricultural decision making process, weather and soil characteristics are play an important role. This research aimed to assess the various classification techniques of data mining and apply them to a soil science database to establish if meaningful relationships can be found. A large data set of soil database is extracted from the Soil Science and Agricultural Department, Kanchipuram and National Informatics Centre, Tamil Nadu. The application of data mining techniques has never been conducted for Tamil Nadu soil data sets. The research compares the different classifiers and the outcome of this research could improve the management and systems of soil uses throughout a large number of fields that include agriculture, horticulture, environmental and land use management.
V. Ramesh and K. Ramar, 2011. Classification of Agricultural Land Soils: A Data Mining Approach. Agricultural Journal, 6: 82-86.