Supporting decision-making in the sugar industry with integrated seasonal climate forecasting

Stone, Roger C. and Cliffe, Neil and Mushtaq, Shahbaz and Everingham, Yvette (2012) Supporting decision-making in the sugar industry with integrated seasonal climate forecasting. In: Climate exchange, 2nd ed. Tudor Rose, Geneva, Switzerland , pp. 46-49. ISBN 978-0-9568561-4-2

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Abstract

An integrated approach has been developed linking seasonal climate forecasting models to sugar yield, production and sugar content models in order to improve predictability of the size of the Queensland sugar crop in any year.


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Item Type: Book Chapter (Commonwealth Reporting Category B)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2012 Tudor Rose. This publication may be freely quoted. Acknowledgement of the source is requested. Requests for the reproduction or translation of this publication should be directed to the publisher.
Faculty / Department / School: Current - USQ Other
Date Deposited: 24 May 2013 04:31
Last Modified: 01 Sep 2017 05:43
Uncontrolled Keywords: weather forecasting; sugar farms; higher yields; planting decisions
Fields of Research : 07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070103 Agricultural Production Systems Simulation
07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070104 Agricultural Spatial Analysis and Modelling
04 Earth Sciences > 0401 Atmospheric Sciences > 040105 Climatology (excl.Climate Change Processes)
Socio-Economic Objective: D Environment > 96 Environment > 9603 Climate and Climate Change > 960304 Climate Variability (excl. Social Impacts)
D Environment > 96 Environment > 9603 Climate and Climate Change > 960307 Effects of Climate Change and Variability on Australia (excl. Social Impacts)
URI: http://eprints.usq.edu.au/id/eprint/22244

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