Abstract : Soil is an important key issue of agriculture. The target of the work is to predict soil sort using data processing classification techniques. Soil sort is expected victimization data processing classification techniques like JRip, 148 and Naive mathematician. These classifier algorithms are applied to extract the data from soil data and 2 forms of soil are thought-about like Red and Black. During this paper, data processing and agricultural Data Mining are summarized. The JRip model will manufacture a lot of reliable results of this knowledge and therefore the alphabetic character Statistics within the forecast was accrued. For finding the problems in huge knowledge, economical strategies may be created that utilize data processing to boost the exactitude of classification of big soil knowledge sets.
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DOI:
10.17148/IJARCCE.2022.11508
[1] Mr.P.Gowthamraj, Mr.M.Rajkumar, Mr.T.Bharathkumar, "ANALYSIS OF MOISTURE LEVEL IDENTIFICATION OF RED SOIL IN TERMS OF WEATHER CONDITION USING DATA MINING ALGORITHMS," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11508
