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Reseach Article

Soybean Productivity Modelling using Decision Tree Algorithms

by S. Veenadhari, Dr. Bharat Mishra, Dr.CD Singh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 27 - Number 7
Year of Publication: 2011
Authors: S. Veenadhari, Dr. Bharat Mishra, Dr.CD Singh
10.5120/3314-4549

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 },
issue_date = { August 2011 },
volume = { 27 },
number = { 7 },
month = { August },
year = { 2011 },
issn = { 0975-8887 },
pages = { 11-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume27/number7/3314-4549/ },
doi = { 10.5120/3314-4549 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:13:08.967859+05:30
%A S. Veenadhari
%A Dr. Bharat Mishra
%A Dr.CD Singh
%T Soybean Productivity Modelling using Decision Tree Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 27
%N 7
%P 11-15
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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.

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Index Terms

Computer Science
Information Sciences

Keywords

Decision tree crop productivity ID3 algorithm climatic factors