Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/6675
Title: The potential for predicting Australian wool supply using remotely sensed data
Contributor(s): Whelan, Michael Barry (author); Cottle, David  (author)orcid ; Gherardi, Stephen (author); Clark, Anthony (author)
Publication Date: 2007
Handle Link: https://hdl.handle.net/1959.11/6675
Abstract: This paper examines the potential of using remote sensing data to make forecasts of Australian wool production more reliable. At present AWI's Production Forecasting Committee relies heavily on expert opinion and consensus. A model of the Australian flock at a regional scale is critical to enable reliable forecasts. Given technological advances and proven applications like the CSIRO's Pasture from Space program, remote sensing has considerable potential to reduce uncertainty in production forecasting. It can be used to differentiate regions on the basis of the predicted quantity and quality of pasture available for sheep grazing throughout the year. Integrating estimated pasture productivity, flock size and flock structure into a simple simulation model should provide an improved and more precise forecast of wool production across the Australian continent.
Publication Type: Conference Publication
Conference Details: IWTO 2016: 76th Annual International Wool Textile Congress: Wool Marketing through Design and Innovation, Edinburgh, United Kingdom, 13th - 16th May, 2007
Source of Publication: Proceedings of the 76th Annual International Wool Textile Congress, p. 1-6
Publisher: International Wool Textile Organisation (IWTO)
Place of Publication: Brussels, Belgium
Fields of Research (FoR) 2008: 070299 Animal Production not elsewhere classified
Socio-Economic Objective (SEO) 2008: 830505 Raw Wool
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Publisher/associated links: http://www.iwto.org/events/IWTOPastEvents.htm
http://www.une.edu.au/staff/dcottle/documents/whelan-cottle-et-al-iwto-paper.doc
Appears in Collections:Conference Publication

Files in This Item:
2 files
File Description SizeFormat 
Show full item record

Page view(s)

1,032
checked on Mar 7, 2023

Download(s)

2
checked on Mar 7, 2023
Google Media

Google ScholarTM

Check


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.