International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 27 - Issue 7 |
Published: August 2011 |
Authors: S. Veenadhari, Dr. Bharat Mishra, Dr.Cd Singh |
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S. Veenadhari, Dr. Bharat Mishra, Dr.Cd Singh . Soybean Productivity Modelling using Decision Tree Algorithms. International Journal of Computer Applications. 27, 7 (August 2011), 11-15. DOI=10.5120/3314-4549
@article{ 10.5120/3314-4549, author = { S. Veenadhari,Dr. Bharat Mishra,Dr.Cd Singh }, title = { Soybean Productivity Modelling using Decision Tree Algorithms }, journal = { International Journal of Computer Applications }, year = { 2011 }, volume = { 27 }, number = { 7 }, pages = { 11-15 }, doi = { 10.5120/3314-4549 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2011 %A S. Veenadhari %A Dr. Bharat Mishra %A Dr.Cd Singh %T Soybean Productivity Modelling using Decision Tree Algorithms%T %J International Journal of Computer Applications %V 27 %N 7 %P 11-15 %R 10.5120/3314-4549 %I Foundation of Computer Science (FCS), NY, USA
Data mining applications in agriculture is a relatively new approach for forecasting / predicting of agricultural crop/animal management. In the present study an attempt has been made to study the influence of climatic parameters on soybean productivity using decision tree induction technique. The findings of Decision tree were framed into different rules for better understanding by the end users. The study findings will help the researchers, policy makers and farmers in predicting/forecasting the crop yield in advance for market dynamics.