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J48 Classifier Approach to Detect Characteristic of Bt Cotton base on Soil Micro Nutrient

Author(s): Youvrajsinh Chauhan | Jignesh Vania

Journal: International Journal of Computer Trends and Technology
ISSN 2231-2803

Volume: 5;
Issue: 6;
Start page: 305;
Date: 2013;
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Keywords: prediction | soil nutrients | agriculture | decision tree

Agriculture is an emerging research field that is experiencing a constant development. In agriculture area problem of efficient knowledge exploitation and acquisition is very popular. In agriculture decision making process is play an important role. The decision tree is one of the common modelling methods to classify. In this paper, we present the basic knowledge of soil nutrients, how affect and related with crop. In this research, Steps for building a predictive model of crop health that have been explained. A large data set of soil nutrient database of Bt Cotoon is extracted from the Soil Micronutrient & Agriculture department, Ananad. The outcome of this research could improve crop production and identify crop disease that help soil systems, uses throughout a large number of fields or area that include environment, agriculture, horticulture and land use management.
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