Disease Prediction on Soil Micronutrients Analysis of Bt Cotton By J48 Classification
Youvrajsinh Chauhan,  Jignesh Vania
The decision tree is one of the common modelling methods to classify. This is an emerging research field that is experiencing a constant development. In this paper, we present the basic knowledge of 16 soil nutrients of crop and how related with other factors like Soil PH, Cation Exchange, Soil Fertility. We add general concept of decision tree and recent applications that already tested and predict the use in field of agriculture. We make the conceptual model that helps to feature research work in agriculture with use of soil nutrients.
Keywords- Classification, Data Mining, Soil Nutrients, Soil Science, J48
Cite this Article
Youvrajsinh Chauhan,  Jignesh Vania,   "Disease Prediction on Soil Micronutrients Analysis of Bt Cotton By J48 Classification"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 2, pp.2760-2765, June 2014, Available at :http://www.ijedr.org/papers/IJEDR1402233.pdf