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Leila Mortazavifar ; Narsis Zarshenas ;Ciência e Natura 2015, 37 6-2

Autor: Hooman Fetanat

Fuente: http://www.redalyc.org/articulo.oa?id=467547683014


Introducción



Ciência e Natura ISSN: 0100-8307 cienciaenaturarevista@gmail.com Universidade Federal de Santa Maria Brasil Fetanat, Hooman; Mortazavifar, Leila; Zarshenas, Narsis The Application of Data Mining Techniques in Agricultural Science Ciência e Natura, vol.
37, núm.
6-2, 2015, pp.
108-116 Universidade Federal de Santa Maria Santa Maria, Brasil Available in: http:--www.redalyc.org-articulo.oa?id=467547683014 How to cite Complete issue More information about this article Journals homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative 108 Ciência e Natura, v.
37 Part 2 2015, p.
108−116 Revista do Centro de Ciências Naturais e Exatas – UFSM ISSN impressa: 0100-8307 ISSN on-line: 2179-460X The Application of Data Mining Techniques in Agricultural Science Hooman Fetanat1Leila Mortazavifar2 Narsis Zarshenas3 1 2 Iran,Shiraz, Faculty:Zand Department of ICT,Computer Faculty,Zand University Iran,Shiraz, Faculty:Zand Department of ICT,Computer Faculty,Zand University 3Iran, Shiraz, Faculty: Agricultur Faculty,Shiraz University Abstract Information Technology has a positive impact on other disciplines.
Using todays technology, precision agriculture and Information Technology are mixed together.
Use of Information Technology in agriculture will lead to improvements in productivity.
For this purpose, the raw data is transformed into useful information through data mining.
This research determined whether data mining techniques can also be used to improve pattern recognition and analysis of large growth factors of ornamental plants experimental datasets.
Furth ermore, the research aimed to establish data mining techniques can be used to assist in the classification and regression methods by determining whether meaningful patterns exist various growth factors of ornamental plants characterized at various research...





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