Classification Techniques in Analysis of Salem District Soil condition for Cultivation of Sunflower
DOI:
https://doi.org/10.26438/ijcse/v6i8.642646Keywords:
Agriculture Soil, Bayes Net, Random Forest, J48Abstract
Agriculture is the backbone of Indian economy. Sunflower is one of the most important oil seed crops grown in temperate countries and India is one of the largest producers of oil seeds in the world. The farmers can determine which type of crops to be cultivated in a particular place with the help of the soil condition analysis. The valuable knowledge is extracted from the agricultural data set with the help of data mining techniques. The farmers can make use of the technology and the right techniques; they can make agriculture a profitable enterprise. Salem district is one of the largest districts in Tamil Nadu, India and it is famous for mango cultivation This paper analyzes whether the Salem district soil is suitable for the cultivation of sunflower crop with the help of data mining classification techniques
References
[1] Mucherino.A, Petraq Papajorgji and P.M.Pardalos, “A survey of data mining techniques applied to agriculture”. Published online 2009 © Springer-verlag.
[2] G.M. Nasira , N. Hemageetha, “Vegetable price prediction using data mining classification technique” Preceedings of the International Conference on pattern Recognition, Informatics and Medical Engineering (PRIME 2012), PP. 99-102 ISBN No:978-1-4673-1038-3. © 2012 IEEE.
[3] N.Hemageetha, Dr. G.M. Nasira ,” Vegetable Price Prediction using Adaptive Neuro-Fuzzy Inference System”, International Journal of Computer Sciences and Engineering IJCSE E- ISSN: 2347-2693 Vol-4 Issue -3 June 2017, pp 75-79.
[4] R.Santhi et at (2014) ,GIS based Soil map for salem district of Tamilnadu. TechInical Folder, TNAU,Coimbatore.
[5] Natesan et at(2007),. Technical Bulletinon “Soil test crop response based fertilizer prescription for different soils and crops in tamil nadu” ,AICRP-STCR TamilNadu Agricultural University, Coimbatore.
[6] N. Hemageetha, Dr. G.M. Nasira Analysis of Soil condition Based on pH value Using Classification Techniques IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661,p-ISSN: 2278-8727, Volume 18, Issue 6, Ver. III (Nov.-Dec. 2016), PP 50-54
[7] N. Hemageetha ,Dr.G.M. Nasira , “Availability of Macro Nutrients Status in Salem District Soil using DataMining Classification Techniques “International Journal Of Control Theory And Applications ISSN: 0974-5572 9(40),2016, pp:57-66
[8] Durga karthik , K.vijayarekha, Simple and quick classification of soil for sunflower cultivation using data mining algorithm , International journal of chemtech research. Vol .7,No.6.,PP 2601-2605 2014-15.
[9] N.Hemageetha, Dr. G.M. Nasira , “Analysis of the Soil data Using Classification Techniques for Agricultural Purpose, International Journal of Computer Sciences and Engineering IJCSE E-ISSN: 2347-2693 Vol-4 Issue -6 June 2016
[10] N. Hemageetha ,Dr.G.M. Nasira , “Classification of Soil Type in Salem District using J48 Algorithm, “International Journal Of Control Theory And Applications ISSN: 0974-5572 9(40),2016 pp 33-41
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
