Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Bryce Little"'
Autor:
Aaron Ingham, Ashfaqur Rahman, Bryce Little, Daniel Smith, Greg Bishop-Hurley, Paul L. Greenwood
Publikováno v:
Information Processing in Agriculture, Vol 5, Iss 1, Pp 124-133 (2018)
In this paper, we summarise the outcome of a set of experiments aimed at classifying cattle behaviour based on sensor data. Each animal carried sensors generating time series accelerometer data placed on a collar on the neck at the back of the head,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::607d4de4fb0d166b62b553af73c4093f
http://www.sciencedirect.com/science/article/pii/S2214317317301099
http://www.sciencedirect.com/science/article/pii/S2214317317301099
Autor:
Roger Hegarty, Aaron Ingham, David Pacheco, Mark Evered, M. J. McPhee, Bryce Little, H C Dougherty, Ermias Kebreab
Publikováno v:
The Journal of Agricultural Science. 155:1442-1458
SUMMARYAs demand for animal products, such as meat and milk, increases, and concern over environmental impact grows, mechanistic models can be useful tools to better represent and understand ruminant systems and evaluate mitigation options to reduce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9dec3cffdabcd1df762f5932692ea00
https://doi.org/10.1017/s0021859617000429
https://doi.org/10.1017/s0021859617000429
Autor:
M. J. McPhee, Aaron Ingham, David Pacheco, Mark Evered, Bryce Little, Roger Hegarty, John Nolan, H C Dougherty, Ermias Kebreab
Publikováno v:
The Journal of Agricultural Science. 155:1459-1474
SUMMARYThe present study evaluated the behaviour of the AusBeef model for beef production as part of a 2 × 2 study simulating performance on forage-based and concentrate-based diets from Oceania and North America for four methane (CH4)-relevant outp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2750cb47d0c87e5fcf1a070e1bc84f8e
https://doi.org/10.1017/s0021859617000430
https://doi.org/10.1017/s0021859617000430
Autor:
Philip Valencia, G. J. Bishop-Hurley, Paul L. Greenwood, R. C. Dobos, Bryce Little, Aaron Ingham, F.A.P. Alvarenga
Publikováno v:
J Anim Sci
Wearable sensor devices to monitor livestock behavior and location in extensive grazing systems can overcome limitations to collection and use of behavior data. These data enable generation of new phenotypes for genetic parameter estimation and decis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2090d9eb7f1cd2e2ebba6782119d2865
https://doi.org/10.1093/jas/skaa278.143
https://doi.org/10.1093/jas/skaa278.143
Autor:
Greg Bishop-Hurley, Yutao Li, Jody McNally, Aaron Ingham, Bryce Little, Daniel Smith, Shuwen Hu, You-Gan Wang, Sabine Schmoelzl
Publikováno v:
Computers and Electronics in Agriculture. 179:105857
Inertial motion sensors located on the animal have been used to study the behaviour of ruminant livestock. The time window size of segmented signal data can significantly affect the classification accuracy of animal behaviours. To date, there have be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34eec17f6ea040d3202a3c4a41782076
https://doi.org/10.1016/j.compag.2020.105857
https://doi.org/10.1016/j.compag.2020.105857
Publikováno v:
Computers and Electronics in Agriculture. 173:105392
An on-animal sensor based research tool is currently being developed to support research studies of dystocia in lambing ewes. Given dystocia is associated with a prolonged period of parturition, the tool is being developed with the intention to autom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::048583a95077d3a80f3298d16f29a21f
https://doi.org/10.1016/j.compag.2020.105392
https://doi.org/10.1016/j.compag.2020.105392
Autor:
Bryce Little
Publikováno v:
SSRN Electronic Journal.
I present a novel asset pricing model where agents have private signals about the long-run conditional mean growth rates of their consumption and dividend endowments. Agents use their private information in combination with publicly known observables
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b21ca3f7df5a6dce2d895d6811d7231e
https://doi.org/10.2139/ssrn.2962115
https://doi.org/10.2139/ssrn.2962115
Autor:
William Barendse, Melony J. Sellars, Brian R. Murphy, John M. Henshall, Bryce Little, Leanne Dierens, Greg J. Coman, Sean McWilliam
Publikováno v:
Aquaculture Research. 45:417-426
Custom-built single-nucleotide-polymorphism (SNP) marker systems that are compatible with Sequenom((R)) chemistry are compared with a general purpose microsatellite marker system in their ability to accurately assign Black Tiger shrimp parentage. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca0d62cdf6f377a08d155e000df76580
https://doi.org/10.1111/j.1365-2109.2012.03243.x
https://doi.org/10.1111/j.1365-2109.2012.03243.x
Autor:
Paul Greenwood, Philip Valencia, Andrew D. Hellicar, Greg Bishop-Hurley, Ashfaqur Rahman, Bryce Little, Daniel Smith, Md. Sumon Shahriar, Aaron Ingham
Publikováno v:
2015 IEEE SENSORS.
Models were developed to classify six different behaviours for a group of seven steers fitted with an accelerometer and pressure sensor. As part of the process, a greedy feature selection method was used to identify the most discriminatory inputs fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f21da62824cc0440567e25517a2571c8
https://doi.org/10.1109/icsens.2015.7370529
https://doi.org/10.1109/icsens.2015.7370529
Autor:
G. J. Bishop-Hurley, T. Kalinowski, D. Ebert, D. R. Paull, Philip Valencia, Bryce Little, Aaron Ingham, Daniel Smith, Jody McNally, Paul L. Greenwood, Ashfaqur Rahman
Publikováno v:
Crop and Pasture Science. 68:1091
Practical and reliable measurement of pasture intake by individual animals will enable improved precision in livestock and pasture management, provide input data for prediction and simulation models, and allow animals to be ranked on grazing efficien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00963e0f5e0081128835c6b972fa20f2
https://doi.org/10.1071/cp16383
https://doi.org/10.1071/cp16383