Application of supervised and unsupervised algorithms to find the important features related to barley ('Hurdeum vulgare' L.) grain yield: A new vista in data mining

Data mining methods are useful tools for crop physiologists to search through large datasets seeking patterns for agronomic factors, and that may assist the selection of the most important features for the individual site and field. To find the main features contributing to barley grain yield (outpu...

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Bibliographic Details

Published in:	Australian Journal of Crop Science Vol. 8; no. 12; pp. 1590 - 1596
Main Authors:	Ehsan Bijanzadeh, Ruhollah Naderi
Format:	Journal Article
Language:	English
Published:	Lismore, N.S.W Southern Cross Publishers 01.12.2014
Subjects:	Arid regions agriculture Barley Data mining Genetic algorithms Grain Varieties Yields
ISSN:	1835-2693
Online Access:	Get full text
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