期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN:2278-1323
出版年度:2015
卷号:4
期号:7
页码:3168-3170
出版社:Shri Pannalal Research Institute of Technolgy
摘要:Data mining involves the systematic analysis of huge information sets, and data processing in agricultural soil datasets is exciting and fashionable analysis space. The productive capability of a soil depends on soil fertility. Achieving and maintaining applicable levels of soil fertility, is of utmost importance if agricultural land is to stay capable of nutrient crop production. During this analysis, Steps for building a prophetic model of soil fertility are explained. This paper aims at predicting soil fertility category mistreatment call tree algorithms in data processing. Further, it focuses on performance calibration of J48 call tree algorithmic program with the assistance of meta-techniques like attribute choice and boosting.