Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/20180
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dc.contributor.authorRahman, Muhammad Moshiuren
dc.contributor.authorLamb, Daviden
dc.contributor.authorStanley, Johnen
dc.contributor.authorTrotter, Marken
dc.date.accessioned2017-03-13T18:54:00Z
dc.date.issued2014en
dc.identifier.citation17th Precision Agriculture Symposium in Australasia Proceedings, p. 100-104en
dc.identifier.urihttps://hdl.handle.net/1959.11/20180en
dc.description.abstractMonitoring pasture growth rate is an important component of managing grazing livestock production systems. In this study we demonstrate a pasture growth rate (PGR) model, initially designed for very large scale satellite imagery, can be operated at a scale of metres when incorporating in-situ sensor data. A light use efficiency (LUE)-based PGR model was combined with in-situ measurements from proximal weather (temperature), plant (fAPAR) and soil (relative moisture) sensors to calculate the growth rate of a tall fescue pasture. When incorporating in-situ measurements of temperature and moisture index, the model provided an accuracy (RMSE) of 1.68 kg/ha.day (R² = 0.96, p-value ≈ 0).en
dc.languageenen
dc.publisherSPAA Precision Agriculture Associationen
dc.relation.ispartof17th Precision Agriculture Symposium in Australasia Proceedingsen
dc.titlePA meets Lot - Integrating in-situ Sensor Data and Biomass Prediction Tools for Crops and Pasturesen
dc.typeConference Publicationen
dc.relation.conference17th Symposium on Precision Agriculture in Australasia, Adelaide, Australia, 2nd - 3rd September, 2014en
dc.subject.keywordsCrop and Pasture Productionen
dc.subject.keywordsAgronomyen
local.contributor.firstnameMuhammad Moshiuren
local.contributor.firstnameDaviden
local.contributor.firstnameJohnen
local.contributor.firstnameMarken
local.subject.for2008070399 Crop and Pasture Production not elsewhere classifieden
local.subject.for2008070302 Agronomyen
local.subject.seo2008829999 Plant Production and Plant Primary Products not elsewhere classifieden
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailmrahma37@une.edu.auen
local.profile.emaildlamb@une.edu.auen
local.profile.emailjstanle4@une.edu.auen
local.profile.emailmtrotte3@une.edu.auen
local.output.categoryE2en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20170216-140510en
local.publisher.placeAdelaide, Australiaen
local.format.startpage100en
local.format.endpage104en
local.contributor.lastnameRahmanen
local.contributor.lastnameLamben
local.contributor.lastnameStanleyen
local.contributor.lastnameTrotteren
dc.identifier.staffune-id:mrahma37en
dc.identifier.staffune-id:dlamben
dc.identifier.staffune-id:jstanle4en
dc.identifier.staffune-id:mtrotte3en
local.profile.orcid0000-0001-6430-0588en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:20378en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitlePA meets Lot - Integrating in-situ Sensor Data and Biomass Prediction Tools for Crops and Pasturesen
local.output.categorydescriptionE2 Non-Refereed Scholarly Conference Publicationen
local.relation.urlhttp://sydney.edu.au/agriculture/pal/documents/2014/17th%20PA%20Symposium%20Proceedings.pdfen
local.description.statisticsepubsVisitors: 32<br />Views: 38<br />Downloads: 1en
Appears in Collections:Conference Publication
School of Environmental and Rural Science
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