A Survey on Data Mining and Pattern Recognition Techniques for Soil Data Mining
Data mining has emerged as one of the major research domain in the recent decades in order to extract implicit and useful knowledge. This knowledge can be comprehended by humans easily. Initially, this knowledge extraction was computed and evaluated manually using statistical techniques. Subsequently, semi-automated data mining techniques emerged because of the advancement in the technology. Such advancement was also in the form of storage which increases the demands of analysis. In such case, semi-automated techniques have become inefficient. Therefore, automated data mining techniques were introduced to synthesis knowledge efficiently. A survey of the available literature on data mining and pattern recognition for soil data mining is presented in this paper. Data mining in Agricultural soil datasets is a relatively novel research field. Efficient techniques can be developed and tailored for solving complex soil datasets using data mining.
Keywords: Data Mining, Pattern Recognition, Soil Data Mining
Download Full-Text
