An Impression of Various Data Mining Techniques in the Field of Agriculture |
Author(s): |
K. Priya , Bharathiyar University; A.Anbarasi, AVP College of arts and Science |
Keywords: |
Agriculture, Classification, Clustering, Data Mining, Regression |
Abstract |
India is a nation where agriculture and agriculture-related trades are the most important sources of living for the general population. Agriculture is a major source of economy of the country. Utilization of data innovation in agriculture can change the circumstance of decision making and agriculturists can yield in a better way. Agriculture Data Mining (ADM) is an interdisciplinary ingenuous research area that handles the development of methods to explore data arising in agriculture fields. A computational approach used by ADM is to examine farming data in order to study cultivation questions. As a result, it provides intrinsic knowledge of farming and crop growing process for effective agriculture planning. Data mining participates a vital part in decision making on numerous issues related to the agriculture pasture. This paper discussed the role of data mining in perception of agriculture field and as well confers regarding some data mining techniques and their related work by several authors in circumstance to agriculture domain. It also discusses various data mining applications in solving many agricultural problems. |
Other Details |
Paper ID: IJSRDV6I110380 Published in: Volume : 6, Issue : 11 Publication Date: 01/11/2019 Page(s): 643-647 |
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