J48 Classifier Approach to Detect Characteristic of Bt Cotton base on Soil Micro Nutrient
Journal Title: INTERNATIONAL JOURNAL OF COMPUTER TRENDS & TECHNOLOGY - Year 2013, Vol 5, Issue 6
Abstract
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.
Authors and Affiliations
Youvrajsinh Chauhan , Jignesh Vania
Keywords
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