A Review on Data Mining Techniques for Fertilizer Recommendation

Authors

  • Jignasha M. Jethva  Research Scholar, Information Technology, G H Patel College of Engineering and Technology, V V Nagar, Gujarat, India
  • Nikhil Gondaliya  Associate Professor, Information Technology, G H Patel College of Engineering and Technology, V V Nagar, Gujarat, India
  • Vinita Shah  Assistant Professor, Information Technology, G H Patel College of Engineering and Technology, V V Nagar, Gujarat, India

Keywords:

Agriculture, Soil Fertility, Fertilizer Recommendation, Data Mining, Clustering, Classification, Neural Network

Abstract

Agriculture plays a crucial role in the life of an economy. It is the backbone for developing countries like India as more than 70% of population depends on agriculture. To increase crop production many factors are responsible like soil, weather, rain, fertilizers and pesticides. We have used soil parameters to increase crop production because it is an essential key factor of agriculture. To maintain nutrient levels in the soil in case of deficiency, fertilizers are added to soil. The common problem existing among the Indian farmers is that they choose approximate amount of fertilizers and add them manually. Excess or insufficient addition of fertilizer can harm the plant life and reduce the yield. This paper provides review of various data mining techniques used on agriculture soil dataset for fertilizer recommendation. Mainly I focused on various soil parameters like Fe, S, Zn, Cu, N and Ph value etc. In this survey, we also describe some Agriculture problems that can be solved by using data mining techniques.

References

  1. https://en.wikipedia.org/wiki/Data_mining
  2. Neha Patel, Rakesh Patel, Shruti Upadhyay, “A Survey Paper of Study about Data Mining” International Journal for Research in Computer Science,2016
  3. Simmi Bagga, Dr. G. N. Singh, “Applications of Data mining” ,international journal for Science and Emerging Technology with latest Trends, 2012
  4. https://www.tutorialspoint.com/data_mining/dm_classification_prediction.htm
  5. J. Han and M. Kamber, jianpei “Data mining: Concepts and techniques (3rd edition)”,   Morgan Kaufman Publishes, 2012
  6. Aashay kumar Dubey, Saurabh Kamath, Dhruv Kanakia “Learning Data Mining Techniques” International Journal of Computer Applications, 2016.
  7. Jay Gholap, “Performance tuning of j48 Algorithm for prediction of soil Fertility”, AJCSIT, 2012.
  8. S. S. Baskar, L. Arockiam, S.Charles “Applying Data Mining Techniques on Soil Fertility Prediction”, IJCAT, 2013.
  9. Vrushali Bhuyar, “Comparative Analysis of Classification Techniques on Soil Data to Predict Fertility Rate for Aurangabad District”, IJETTCS, 2014.
  10. Amrutha A, Lekha R, A Sreedevi, “Automatic Soil Nutrient Detection and Fertilizer Dispensary System”, IEEE ,2016
  11. Prof. NileshPatil, Apoorav Singh, Piyush Patel, Nisarg Joshi, “Soil Classification support for Farming Decisions”, IJRITCC, 2017.
  12. Navneet, Nasib Singh Gill , “Algorithm for Producing Compact Decision Trees for Enhancing Classification Accuracy in Fertilizer Recommendation of Soil”,IJCA,2014
  13. Navneet and Nasib Singh Gill, “Classification Using the Compact Rule Generation”, OJCST, 2015.
  14. Jharna Majumdar, Sneha Naraseeyappa and Shilpa Ankalaki, “Analysis of agriculture data using data mining techniques: application of big data”,Springer,2017
  15. http://mpkrishi.org/EngDocs/AgriLeft/Soilt/soiltHome.aspx#SS
  16. Soil Test Interpretations and Recommendations Handbook, Daryl D. Buchholz
  17. A. Mucherino, Petraq Papajorgji, P. M. Pardalos,” A survey of data mining techniques applied to agriculture”, Springer, 2009
  18. Niketa Gandhi, Leisa J. Armstrong, “A review of the application of data mining techniques for decision making in agriculture ”,IEEE,2016
  19. N. Hemageetha,” A Survey  on Application of data mining techniques to analyze the soil for agriculture purpose”, IEEE,2016
  20. P. Jasmine Sheela, M.Sc., K. Sivaranjani, M.Sc., M.Phil., “A Brief Survey of Classification Techniques Applied To Soil Fertility Prediction”, ICETSH-2015
  21. Hetal Patel,  Dharmendra Patel,” A Brief survey of Data Mining Techniques Applied to Agricultural Data”, IJCA, 2014
  22. http://bigdata-madesimple.com/14-useful-applications-of-data-mining/
  23. Kiran Shinde, Jerrin Andrei, Amey Oke,” Web Based Recommendation System for Farmers”, IJRITCC,2015
  24. Tejas S. Mehta, Dr. Dhaval R. Kathiriya, “Survey of Data Mining Techniques in Precision Agriculture”, IJSR, 2015

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

Downloads

Published

2018-02-28

Issue

Volume 2, Issue 6, November-December-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Jignasha M. Jethva, Nikhil Gondaliya, Vinita Shah, " A Review on Data Mining Techniques for Fertilizer Recommendation, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.1386-1390, November-December-2017.