Autonomous counting of livestock from remote sensing imagery

Author(s)
Jayawardena, Ashoka
Kwan, Paul H
Sajeev, Abudulkadir
Lamb, David
Trotter, Mark
Publication Date
2012
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.
Citation
Proceedings of the 3rd Australian and New Zealand Spatially Enabled Livestock Management Symposium, p. 24-24
ISBN
9780477103800
9780477103794
Link
Language
en
Publisher
AgResearch Grasslands
Title
Autonomous counting of livestock from remote sensing imagery
Type of document
Conference Publication
Entity Type
Publication

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