Performance Tuning Of J48 Algorithm For Prediction Of Soil Fertility

The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use("data mining",Wikipedia). A soil test is the analysis of a soil sample to determine nutrient content, composition and other characteristics. Tests are usually performed to measure fertility and indicate deficiencies that need to be remedied ("Soil Test", Wikipedia).. In this research, soil dataset containing soil test results has been used to apply various classification techniques in data mining. Soil fertility is a crucial attribute which is considered for land evaluation, also achieving and maintaining necessary levels of fertility is important for nurturing crop production, hence this paper includes steps for building an efficient and accurate predictive model of soil fertility with the help of J48 algorithm.