Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/58864
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dc.contributor.authorClark, Andrewen
dc.contributor.authorShephard, Craigen
dc.contributor.authorRobson, Andrewen
dc.contributor.authorMcKechnie, Joelen
dc.contributor.authorMorrison, R Blakeen
dc.contributor.authorRankin, Abbieen
dc.date.accessioned2024-05-02T00:05:42Z-
dc.date.available2024-05-02T00:05:42Z-
dc.date.issued2023-
dc.identifier.citationLand, 12(12), p. 1-22en
dc.identifier.issn2073-445Xen
dc.identifier.urihttps://hdl.handle.net/1959.11/58864-
dc.description.abstract<p>Abstract: As the global population rises, there is an ever-increasing demand for food, in terms of volume, quality and sustainable production. Protected Cropping Structures (PCS) provide controlled farming environments that support the optimum use of crop inputs for plant growth, faster production cycles, multiple growing seasons per annum and increased yield, while offering greater control of pests, disease and adverse weather. Globally, there has been a rapid increase in the adoption of PCS. However, there remains a concerning knowledge gap in the availability of accurate and up-to-date spatial information that defines the extent (location and area) of PCS. This data is fundamental for providing metrics that inform decision making around forward selling, labour, processing and infrastructure requirements, traceability, biosecurity and natural disaster preparedness and response. This project addresses this need, by developing a national map of PCS for Australia using remotely sensed imagery and deep learning analytics, ancillary data, field validation and industry engagement. The resulting map presents the location and extent of all commercial glasshouses, polyhouses, polytunnels, shadehouses and permanent nets with an area of >0.2 ha. The outcomes of the project revealed deep learning techniques can accurately map PCS with models achieving F-Scores > 0.9 and accelerate the mapping where suitable imagery is available. Location-based tools supported by web mapping applications were critical for the validation of PCS locations and for building industry awareness and engagement. The final national PCS map is publicly available through an online dashboard which summarises the area of PCS structures at a range of scales including state/territory, local government area and individual structure. The outcomes of this project have set a global standard on how this level of mapping can be achieved through a collaborative, multifaceted approach.</p>en
dc.languageenen
dc.publisherMDPI AGen
dc.relation.ispartofLanden
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleA Multifaceted Approach to Developing an Australian National Map of Protected Cropping Structuresen
dc.typeJournal Articleen
dc.identifier.doi10.3390/land12122168en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameAndrewen
local.contributor.firstnameCraigen
local.contributor.firstnameAndrewen
local.contributor.firstnameJoelen
local.contributor.firstnameR Blakeen
local.contributor.firstnameAbbieen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailaclar200@une.edu.auen
local.profile.emailcshepha2@une.edu.auen
local.profile.emailarobson7@une.edu.auen
local.profile.emailjmckechn@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeSwitzerlanden
local.identifier.runningnumber2168en
local.format.startpage1en
local.format.endpage22en
local.peerreviewedYesen
local.identifier.volume12en
local.identifier.issue12en
local.access.fulltextYesen
local.contributor.lastnameClarken
local.contributor.lastnameShepharden
local.contributor.lastnameRobsonen
local.contributor.lastnameMcKechnieen
local.contributor.lastnameMorrisonen
local.contributor.lastnameRankinen
dc.identifier.staffune-id:aclar200en
dc.identifier.staffune-id:cshepha2en
dc.identifier.staffune-id:arobson7en
dc.identifier.staffune-id:jmckechnen
local.profile.orcid0000-0002-5309-6910en
local.profile.orcid0000-0002-4726-0665en
local.profile.orcid0000-0001-5762-8980en
local.profile.orcid0000-0003-4282-9944en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/58864en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleA Multifaceted Approach to Developing an Australian National Map of Protected Cropping Structuresen
local.relation.fundingsourcenoteThe National Map of Protected Cropping Systems project is funded by the Hort Frontiers Advanced Production Systems Fund part of the Hort Frontiers strategic partnership initiative developed by Hort Innovation, with co-investment from Future Food Systems CRC, Protected Cropping Australia LTD, Greater Sydney and North Coast Local Land Services and the University of New England, and contributions from the Australian Government (AS20003).en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorClark, Andrewen
local.search.authorShephard, Craigen
local.search.authorRobson, Andrewen
local.search.authorMcKechnie, Joelen
local.search.authorMorrison, R Blakeen
local.search.authorRankin, Abbieen
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2023en
local.subject.for2020401304 Photogrammetry and remote sensingen
local.subject.for2020460304 Computer visionen
local.subject.seo2020280101 Expanding knowledge in the agricultural, food and veterinary sciencesen
local.subject.seo2020260199 Environmentally sustainable plant production not elsewhere classifieden
local.codeupdate.date2024-09-02T08:10:30.905en
local.codeupdate.epersonaclar200@une.edu.auen
local.codeupdate.finalisedtrueen
local.original.for20203002 Agriculture, land and farm managementen
local.original.seo2020tbden
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.date.moved2024-05-02en
Appears in Collections:Journal Article
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