Review of Data Mining Techniques for Soil Quality Analysis

February 2019
Vol-5, Issue-2
Paper ID: 9545
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Science and Engineering
Keywords
Mining K-Means Support vector machines Artificial neural networks Agriculture.
Abstract
Data Mining is a method which centers on expansive data sets to remove data for expectation and disclosure of concealed patterns. Data Mining is appropriate for different zones like human services, protection, showcasing, retail, correspondence, agriculture. At first, this information extraction was figured and assessed physically utilizing measurable systems. Along these lines, semi-automated data mining systems rose due to the progression in the innovation. Such headway was additionally as a capacity which expands the requests of examination. In such case, semi-mechanized systems have turned out to be wasteful. Consequently, robotized data mining systems were acquainted with blend information productively. A study of the accessible writing on data mining and pattern recognition for soil data mining is displayed in this paper. Data mining in Agricultural soil datasets is a generally novel research field. Proficient strategies can be produced and customized for explaining complex soil datasets utilizing data mining.

Author Information

# Name Institute / Affiliation
1 Abha Natu Dr Babasaheb Ambedkar College of Engineering and Research
2 Neha Titarmare Dr Babasaheb Ambedkar College of Engineering and Research
3 Rupal Lokare Dr Babasaheb Ambedkar College of Engineering and Research
4 Shreya Bagde Dr Babasaheb Ambedkar College of Engineering and Research
5 Ms.Mitali Ingle Dr Babasaheb Ambedkar College of Engineering and Research

How to Cite

Use the following formats to cite this article in your research.

APA Style
Natu, Abha, Titarmare, Neha, Lokare, Rupal, Bagde, Shreya, & Ingle, Ms.Mitali (2019). Review of Data Mining Techniques for Soil Quality Analysis. International Journal of Advance Research and Innovative Ideas In Education, 5(2), 42-45.
MLA Style
Natu, Abha, et al. "Review of Data Mining Techniques for Soil Quality Analysis." International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 2, 2019, pp. 42-45.
IEEE Style
Abha Natu, Neha Titarmare, Rupal Lokare, Shreya Bagde, and Ms.Mitali Ingle, "Review of Data Mining Techniques for Soil Quality Analysis," International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 2, pp. 42-45, 2019.
Vancouver Style
Natu Abha, Titarmare Neha, Lokare Rupal, Bagde Shreya, Ingle Ms.Mitali. Review of Data Mining Techniques for Soil Quality Analysis. International Journal of Advance Research and Innovative Ideas In Education. 2019;5(2):42-45.
Harvard Style
Natu, Abha, Titarmare, Neha, Lokare, Rupal, Bagde, Shreya, & Ingle, Ms.Mitali (2019) 'Review of Data Mining Techniques for Soil Quality Analysis', International Journal of Advance Research and Innovative Ideas In Education, 5(2), pp. 42-45.
Chicago Style
Natu, Abha, et al. "Review of Data Mining Techniques for Soil Quality Analysis." International Journal of Advance Research and Innovative Ideas In Education 5, no. 2 (2019): 42-45.
Turabian Style
Natu, Abha, et al. "Review of Data Mining Techniques for Soil Quality Analysis." International Journal of Advance Research and Innovative Ideas In Education 5, no. 2 (2019): 42-45.

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