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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/62791
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dc.contributor.authorRobson, Andrewen
dc.contributor.authorBrinkhoff, Jamesen
dc.contributor.authorSinha, Priyakanten
dc.contributor.authorRahman, Muhammaden
dc.contributor.authorTorgbor, Adjah Benjaminen
dc.date.accessioned2024-09-13T04:13:48Z-
dc.date.available2024-09-13T04:13:48Z-
dc.date.issued2023-
dc.identifier.urihttps://hdl.handle.net/1959.11/62791-
dc.description.abstractExtracted time series satellite remote sensing (RS) data in an excel table with column names describing the content of the observations in rows. It also include figures and results tables from the analysis conducted in the research. The data excludes the actual yield data obtained from mango growers in the study locations of which sharing is not permitted. The satellite RS data was used in relation with the actual yield data to develop the time series yield models.en
dc.format.extent.ppt, .csv, .xlsx, .pngen
dc.languageenen
dc.publisherUniversity of New Englanden
dc.relation.urihttps://hdl.handle.net/1959.11/60293en
dc.titleIntegrating Remote Sensing and Weather Variables for Yield Forecasting of Horticultural Tree Crops – A Case Study of Mango in Ghana and Australia - Dataseten
dc.typeDataseten
dc.identifier.doi10.25952/52x6-gr48en
dcterms.accessRightsMediateden
dcterms.rightsHolderAARSC, UNEen
dc.subject.keywordsPhenologyen
local.contributor.firstnameAndrewen
local.contributor.firstnameJamesen
local.contributor.firstnamePriyakanten
local.contributor.firstnameMuhammaden
local.contributor.firstnameAdjah Benjaminen
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.schoolSchool of Science and Technologyen
local.profile.emailarobson7@une.edu.auen
local.profile.emailjbrinkho@une.edu.auen
local.profile.emailpsinha2@une.edu.auen
local.profile.emailmrahma37@une.edu.auen
local.profile.emailbenjamintorgbor@yahoo.comen
local.output.categoryXen
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeArmidale, Australiaen
local.contributor.lastnameRobsonen
local.contributor.lastnameBrinkhoffen
local.contributor.lastnameSinhaen
local.contributor.lastnameRahmanen
local.contributor.lastnameTorgboren
dc.identifier.staffune-id:arobson7en
dc.identifier.staffune-id:jbrinkhoen
dc.identifier.staffune-id:psinha2en
dc.identifier.staffune-id:mrahma37en
local.profile.orcid0000-0001-5762-8980en
local.profile.orcid0000-0002-0721-2458en
local.profile.orcid0000-0002-0278-6866en
local.profile.orcid0000-0001-6430-0588en
local.profile.rolesupervisoren
local.profile.rolesupervisoren
local.profile.rolesupervisoren
local.profile.rolesupervisoren
local.profile.rolecreatoren
local.identifier.unepublicationidune:1959.11/62791en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelStudenten
local.title.maintitleIntegrating Remote Sensing and Weather Variables for Yield Forecasting of Horticultural Tree Crops – A Case Study of Mango in Ghana and Australia - Dataseten
local.relation.fundingsourcenoteAustralian Government Department of Agriculture and Water Resources Horticulture Innovations Australia Ltd. Remote Sensing Scholarship from AARSC, UNEen
local.output.categorydescriptionX Dataseten
local.search.authorTorgbor, Adjah Benjaminen
local.search.supervisorRobson, Andrewen
local.search.supervisorBrinkhoff, Jamesen
local.search.supervisorSinha, Priyakanten
local.search.supervisorRahman, Muhammaden
local.datasetcontact.nameMuhammad Moshiur Rahmanen
local.datasetcontact.emailmrahma37@une.edu.auen
local.datasetcustodian.nameMuhammad Moshiur Rahmanen
local.datasetcustodian.emailmrahma37@une.edu.auen
local.datasetcontact.detailsMuhammad Moshiur Rahman - mrahma37@une.edu.auen
local.datasetcustodian.detailsMuhammad Moshiur Rahman - mrahma37@une.edu.auen
dcterms.ispartof.projectIntegrating Remote Sensing and Weather Variables for Yield Forecasting of Horticultural Tree Crops – A Case Study of Mango in Ghana and Australiaen
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2023en
local.subject.for2020401304 Photogrammetry and remote sensingen
local.subject.seo2020280101 Expanding knowledge in the agricultural, food and veterinary sciencesen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
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School of Science and Technology
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