Soil Classification Using Data Mining Techniques: A Comparative Study
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International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2011 by IJETT Journal | ||
| Volume-2 Issue-1 |
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| Year of Publication : 2011 | ||
| Authors :P. Bhargavi , Dr. S. Jyothi | ||
Citation
P. Bhargavi , Dr. S. Jyothi. "Soil Classification Using Data Mining Techniques: A Comparative Study". International Journal of Engineering Trends and Technology (IJETT),V2(1):55-59 Jul to Aug 2011. ISSN:2231-5381. www.ijettjournal.org. Published by Seventh Sense Research Group.
Abstract
Soil Classification deals with the systematic categorization of soils based on distinguished characteristics as well as criteria. We developed Data Mining techniques like: GATree, Fuzzy Classification rules and Fuzzy C - Means algorithm for classifying soil texture in agriculture soil data. In this paper , we give a comparative study of developed algorithms. The s tudy is used to compare and analyze the soil data.
References
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Keywords
Data Mining, Soil Database, Classification, Genetic Algorithm , Fuzzy Classification, Fuzzy Clustering.