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Applying data mining tools to improve grain quality for growers

Diepeveen, D., Armstrong, L., Clarke, P., Abrecht, D., Appels, R. and Bellgard, M. (2008) Applying data mining tools to improve grain quality for growers. In: 2008 Agribusiness Crop Updates: Cereal Updates, 13 - 14 February 2008, Burswood Entertainment Complex, Perth, W.A

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Abstract

Most of the crop variety information from breeding organisations promotes the positive aspects of varieties included, rather than a grower specific view.

The grower needs to take into account across all the new varieties improved germplasm traits when making cropping decisions.

Data mining techniques offer opportunities for summarising diverse data into a coherent format which is understandable by growers.

Data mining offers opportunities to improve the process of identifying and recommending new varieties as it can facilitate the analysis of multiple information sources.

Data mining can provide both the crop breeder and grower with a more translucent view of the general trends in the performance and other plant traits of new varieties.

Publication Type: Conference Paper
Murdoch Affiliation: Centre for Comparative Genomics
Conference Website: http://www.agric.wa.gov.au/PC_90748.html?s=1691028...
URI: http://researchrepository.murdoch.edu.au/id/eprint/12976
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