Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/10497
Title: Autonomous counting of livestock from remote sensing imagery
Contributor(s): Jayawardena, Ashoka (author); Kwan, Paul H (author); Sajeev, Abudulkadir (author); Lamb, David (author); Trotter, Mark (author)
Publication Date: 2012
Handle Link: https://hdl.handle.net/1959.11/10497
Abstract: One of the key issues facing pastoralists across Northern Australia is accurately estimating the number of cattle they have on their property. For smaller producers this has implications in terms of optimising stocking rates to match available resources, thus ensuring sustainability and economic viability. In addition to this, for larger operations, the lack of knowledge about the number of stock has implications for account reporting and ultimately impacts on a number of financial factors including interest rate pricing, costing these operations substantial amounts of money. From a national perspective, the impending emissions trading scheme provides an opportunity for producers to gain benefits from better livestock management, however a lack of information on livestock numbers will certainly limit this. Existing techniques for counting livestock require extensive infrastructure (e.g. camera systems at water points) or devices to be applied to the animal (e.g. RFID tags), all of which are largely impractical solutions for rangeland deployment. In this preliminary study we explored the potential for remotely sensed imagery and image analysis techniques to deliver estimates of livestock populations in a pastoral environment. Airborne imagery was collected using a multispectral system with a spatial resolution of 15cm. A false colour image was developed and used in the subsequent analysis.
Publication Type: Conference Publication
Conference Name: 3rd Australian and New Zealand Spatially Enabled Livestock Management Symposium, Lincoln, New Zealand, 6th July, 2012
Source of Publication: Proceedings of the 3rd Australian and New Zealand Spatially Enabled Livestock Management Symposium, p. 24-24
Publisher: AgResearch Grasslands
Place of Publication: Palmerston North, New Zealand
Field of Research (FOR): 070104 Agricultural Spatial Analysis and Modelling
HERDC Category Description: E3 Extract of Scholarly Conference Publication
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School of Environmental and Rural Science
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