Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/52940
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dc.contributor.authorTorgbor, Benjamin Adjahen
dc.contributor.authorRahman, Muhammad Moshiuren
dc.contributor.authorRobson, Andrewen
dc.contributor.authorBrinkhoff, Jamesen
dc.date.accessioned2022-07-27T23:10:04Z-
dc.date.available2022-07-27T23:10:04Z-
dc.date.issued2022-06-29-
dc.identifier.citationProceedings of the 15th International Conference on Precision Agriculture p.1en
dc.identifier.isbn10en
dc.identifier.urihttps://hdl.handle.net/1959.11/52940-
dc.description.abstract<p>The rise in global production of horticultural tree crops over the past few decades is driving technology-based innovation and research to promote productivity and efficiency. Although mango production is on the rise, application of the remote sensing technology is generally limited and the available study on retrieving mango phenology stages specifically, was focused on the application of optical data. We therefore sought to answer the questions; (1) can key phenology stages of mango be retrieved from radar (Sentinel-1) particularly due to the cloud related limitations of optical satellite remote sensing in the tropics? and (2) does weather have any effect on phenology? The study was conducted on a mango farm in the Yilo Krobo Municipal Area of Ghana. Time series analysis for radar vegetation index (RVI) values for 2018 – 2021 was used to retrieve three key phenology stages of mango namely; Start of Season (SoS), Peak of Season (PoS) and End of Season (EoS). Characteristic annual peaks (in April/May for the major season and October/November for the minor season) and troughs (in June/July for the major season and December/January for the minor season) in the phenology trend of mango were identified. Rainfall and temperature explained less than 2% and 14% of the variability respectively in mango phenology. The application of radar remote sensing provides a cutting edge technology in the assessment of mango phenology, particularly in the tropics where cloud cover is a big challenge. This study offers an opportunity for production efficiency in the mango value chain as understanding of the crop's phenology allows growers to manage farm and post-harvest operations.</p>en
dc.languageenen
dc.publisherInternational Society of Precision Agriculture (ISPA)en
dc.relation.ispartofProceedings of the 15th International Conference on Precision Agricultureen
dc.titleAssessing the potential of Sentinel-1 in retrieving mango phenology and investigating its relation to weather in Southern Ghanaen
dc.typeConference Publicationen
dc.relation.conferenceICPA 2022: 15th International Conference on Precision Agricultureen
dcterms.accessRightsBronzeen
local.contributor.firstnameBenjamin Adjahen
local.contributor.firstnameMuhammad Moshiuren
local.contributor.firstnameAndrewen
local.contributor.firstnameJamesen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailbtorgbor@myune.edu.auen
local.profile.emailmrahma37@une.edu.auen
local.profile.emailarobson7@une.edu.auen
local.profile.emailjbrinkho@une.edu.auen
local.output.categoryE2en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.date.conference26th - 29th June, 2022en
local.conference.placeMinneapolis, United States of Americaen
local.publisher.placeMonticello, United States of Americaen
local.format.endpage1en
local.url.openhttps://www.ispag.org/proceedings/?action=abstract&id=9142&title=Assessing+the+Potential+of+Sentinel-1+in+Retrieving+Mango+Phenology+and+Investigating+Its+Relation+to+Weather+in+Southern+Ghanaen
local.access.fulltextYesen
local.contributor.lastnameTorgboren
local.contributor.lastnameRahmanen
local.contributor.lastnameRobsonen
local.contributor.lastnameBrinkhoffen
dc.identifier.staffune-id:mrahma37en
dc.identifier.staffune-id:arobson7en
dc.identifier.staffune-id:jbrinkhoen
local.profile.orcid0000-0001-6430-0588en
local.profile.orcid0000-0001-5762-8980en
local.profile.orcid0000-0002-0721-2458en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/52940en
local.date.onlineversion2022-06-29-
dc.identifier.academiclevelStudenten
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleAssessing the potential of Sentinel-1 in retrieving mango phenology and investigating its relation to weather in Southern Ghanaen
local.relation.fundingsourcenoteRemote Sensing scholarship from the Applied Agricultural Remote Sensing Centre (AARSC) of the University of New England, Armidale - Australia.en
local.output.categorydescriptionE2 Non-Refereed Scholarly Conference Publicationen
local.relation.urlhttps://www.ispag.org/icpaen
local.conference.detailsICPA 2022: 15th International Conference on Precision Agriculture, Minneapolis, United States of America, 26th - 29th June, 2022en
local.search.authorTorgbor, Benjamin Adjahen
local.search.authorRahman, Muhammad Moshiuren
local.search.authorRobson, Andrewen
local.search.authorBrinkhoff, Jamesen
local.uneassociationYesen
dc.date.presented2022-06-27-
local.atsiresearchNoen
local.conference.venueMinneapolis Marriott City Centeren
local.sensitive.culturalNoen
local.year.available2022en
local.year.published2022en
local.year.presented2022en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/41aa8f0d-c300-4dab-bf74-fa91574e5163en
local.subject.for2020300207 Agricultural systems analysis and modellingen
local.subject.for2020300206 Agricultural spatial analysis and modellingen
local.subject.for2020300802 Horticultural crop growth and developmenten
local.subject.seo2020260513 Stone fruit (excl. avocado)en
local.subject.seo2020260516 Tropical fruiten
local.date.start2022-06-26-
local.date.end2022-06-29-
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School of Science and Technology
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