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.

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

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Published

2018-02-28

Issue

Volume 2, Issue 6, November-December-2017

Section

Research Articles

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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" International 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.