Please use this identifier to cite or link to this item:
|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||Statistics to Oct 2018:||Visitors: 242
|Appears in Collections:||Conference Publication|
Files in This Item:
checked on Feb 24, 2019
Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.