Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/10385
Title: Development and application of real-time sensors for enhancing productivity and efficiency at pasture
Contributor(s): Paull, David (author); Greenwood, Paul (author); Valencia, Phil (author); Overs, Les (author); Trotter, Mark  (author); Purvis, Ian W (author)
Publication Date: 2012
Handle Link: https://hdl.handle.net/1959.11/10385
Abstract: We are undertaking a project that will develop technologies that can be used to measure efficiency of production on pasture for cattle and sheep and then use these technologies to develop applications that lead to enhanced efficiency of production. More specifically, the project will initially prove up a benchmark system to provide accurate, precise data against which techniques and technologies that estimate intake by individual animals on pasture can be ground-truthed. The objectives are: 1. Use real-time sensors and sensor network technologies to develop predictive algorithms for individual animal intake of pasture; 2. Ground-truth these predictive algorithms using chemical markers and biomass disappearance techniques and quantify repeatability and robustness for individual animals; 3. Evaluate predictive algorithms on groups of animals grazing together against chemical markers; 4. Undertake a small-scale proof of concept study on a herd/flock basis as a lead in to genetic evaluation project.
Publication Type: Conference Publication
Conference Name: 3rd Australian and New Zealand Spatially Enabled Livestock Management Symposium, Lincoln, New Zealand, 6th July, 2012
Conference Details: 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. 18-19
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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