Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/10496
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dc.contributor.authorBarron, Joshen
dc.contributor.authorTrotter, Marken
dc.contributor.authorGuppy, Christopheren
dc.contributor.authorHaling, Rebeccaen
dc.contributor.authorLamb, Daviden
local.source.editorEditor(s): Keith Betteridge and Isabelle Vanderkolken
dc.date.accessioned2012-06-20T14:54:00Z-
dc.date.issued2012-
dc.identifier.citationProceedings of the 3rd Australian and New Zealand Spatially Enabled Livestock Management Symposium, p. 27-27en
dc.identifier.isbn9780477103794en
dc.identifier.isbn9780477103800en
dc.identifier.urihttps://hdl.handle.net/1959.11/10496-
dc.description.abstractPrecision Agriculture (PA) is changing how producers manage their land. PA involves the use of sensors and management strategies that target the spatial and temporal variability that occurs across a landscape. The introduction of PA has increased profitability and resource use efficiency across many agricultural systems and is now widely applied in cropping and horticultural enterprises. However, development of PA strategies for grazing systems has largely been ignored, possibly due to the complex relationships that exist when considering soil, plant and animal interactions across variable pastoral landscapes. There is a growing interest in the potential of PA management strategies, for example Site Specific Nutrient Management (SSNM) to assist in increasing the fertiliser use efficiency in grazing systems (Simpson et al., 2011). Technologies such as soil EM38 mapping and plant vigour sensors (Crop Circle - Active Optical Sensor) have been extensively used in PA cropping operations and these tools offer some ability to monitor the soil and plant systems in a pasture. The more recent development of GPS livestock tracking has now unlocked the ability to monitor the spatial and temporal variability of the animal component of a grazing system. The integration of these technologies holds significant potential in providing an understanding of how grazing systems vary and how this variability can be managed, particularly through SSNM. This study aims to investigate how common PA tools such as soil EM38 and plant vigour sensors along with GPS tracking information from livestock can be used to understand the spatial distribution of soil nutrients in grazing systems. It is anticipated that this information will lead to an understanding of how producers can zone pasture paddocks to apply SSNM strategies in a similar way to what is currently applied in cropping systems.en
dc.languageenen
dc.publisherAgResearch Grasslandsen
dc.relation.ispartofProceedings of the 3rd Australian and New Zealand Spatially Enabled Livestock Management Symposiumen
dc.titleUsing common PA tools and GPS livestock tracking to examine the variability in soil nutrients across grazing landscapesen
dc.typeConference Publicationen
dc.relation.conferenceSELM 2012: 3rd Australian and New Zealand Spatially Enabled Livestock Management Symposiumen
dc.subject.keywordsAgricultural Spatial Analysis and Modellingen
local.contributor.firstnameJoshen
local.contributor.firstnameMarken
local.contributor.firstnameChristopheren
local.contributor.firstnameRebeccaen
local.contributor.firstnameDaviden
local.subject.for2008070104 Agricultural Spatial Analysis and Modellingen
local.subject.seo2008830399 Livestock Raising not elsewhere classifieden
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolOffice of Faculty of Science, Agriculture, Business and Lawen
local.profile.emailjbarron2@myune.edu.auen
local.profile.emailmtrotte3@une.edu.auen
local.profile.emailcguppy@une.edu.auen
local.profile.emailrhaling@une.edu.auen
local.profile.emaildlamb@une.edu.auen
local.output.categoryE3en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20120620-110129en
local.date.conference6th July, 2012en
local.conference.placeLincoln, New Zealanden
local.publisher.placePalmerston North, New Zealanden
local.format.startpage27en
local.format.endpage27en
local.contributor.lastnameBarronen
local.contributor.lastnameTrotteren
local.contributor.lastnameGuppyen
local.contributor.lastnameHalingen
local.contributor.lastnameLamben
dc.identifier.staffune-id:jbarron2en
dc.identifier.staffune-id:mtrotte3en
dc.identifier.staffune-id:cguppyen
dc.identifier.staffune-id:rhalingen
dc.identifier.staffune-id:dlamben
local.profile.orcid0000-0001-7274-607Xen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:10691en
dc.identifier.academiclevelStudenten
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleUsing common PA tools and GPS livestock tracking to examine the variability in soil nutrients across grazing landscapesen
local.output.categorydescriptionE3 Extract of Scholarly Conference Publicationen
local.conference.detailsSELM 2012: 3rd Australian and New Zealand Spatially Enabled Livestock Management Symposium, Lincoln, New Zealand, 6th July, 2012en
local.search.authorBarron, Joshen
local.search.authorTrotter, Marken
local.search.authorGuppy, Christopheren
local.search.authorHaling, Rebeccaen
local.search.authorLamb, Daviden
local.uneassociationUnknownen
local.year.published2012-
local.subject.for2020300206 Agricultural spatial analysis and modellingen
local.subject.seo2020100407 Insectsen
local.date.start2012-07-06-
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