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https://hdl.handle.net/1959.11/52940
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DC Field | Value | Language |
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dc.contributor.author | Torgbor, Benjamin Adjah | en |
dc.contributor.author | Rahman, Muhammad Moshiur | en |
dc.contributor.author | Robson, Andrew | en |
dc.contributor.author | Brinkhoff, James | en |
dc.date.accessioned | 2022-07-27T23:10:04Z | - |
dc.date.available | 2022-07-27T23:10:04Z | - |
dc.date.issued | 2022-06-29 | - |
dc.identifier.citation | Proceedings of the 15th International Conference on Precision Agriculture p.1 | en |
dc.identifier.isbn | 10 | en |
dc.identifier.uri | https://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.language | en | en |
dc.publisher | International Society of Precision Agriculture (ISPA) | en |
dc.relation.ispartof | Proceedings of the 15th International Conference on Precision Agriculture | en |
dc.title | Assessing the potential of Sentinel-1 in retrieving mango phenology and investigating its relation to weather in Southern Ghana | en |
dc.type | Conference Publication | en |
dc.relation.conference | ICPA 2022: 15th International Conference on Precision Agriculture | en |
dcterms.accessRights | Bronze | en |
local.contributor.firstname | Benjamin Adjah | en |
local.contributor.firstname | Muhammad Moshiur | en |
local.contributor.firstname | Andrew | en |
local.contributor.firstname | James | en |
local.profile.school | School of Science and Technology | en |
local.profile.school | School of Science and Technology | en |
local.profile.school | School of Science and Technology | en |
local.profile.email | btorgbor@myune.edu.au | en |
local.profile.email | mrahma37@une.edu.au | en |
local.profile.email | arobson7@une.edu.au | en |
local.profile.email | jbrinkho@une.edu.au | en |
local.output.category | E2 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.date.conference | 26th - 29th June, 2022 | en |
local.conference.place | Minneapolis, United States of America | en |
local.publisher.place | Monticello, United States of America | en |
local.format.endpage | 1 | en |
local.url.open | https://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+Ghana | en |
local.access.fulltext | Yes | en |
local.contributor.lastname | Torgbor | en |
local.contributor.lastname | Rahman | en |
local.contributor.lastname | Robson | en |
local.contributor.lastname | Brinkhoff | en |
dc.identifier.staff | une-id:mrahma37 | en |
dc.identifier.staff | une-id:arobson7 | en |
dc.identifier.staff | une-id:jbrinkho | en |
local.profile.orcid | 0000-0001-6430-0588 | en |
local.profile.orcid | 0000-0001-5762-8980 | en |
local.profile.orcid | 0000-0002-0721-2458 | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:1959.11/52940 | en |
local.date.onlineversion | 2022-06-29 | - |
dc.identifier.academiclevel | Student | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Assessing the potential of Sentinel-1 in retrieving mango phenology and investigating its relation to weather in Southern Ghana | en |
local.relation.fundingsourcenote | Remote Sensing scholarship from the Applied Agricultural Remote Sensing Centre (AARSC) of the University of New England, Armidale - Australia. | en |
local.output.categorydescription | E2 Non-Refereed Scholarly Conference Publication | en |
local.relation.url | https://www.ispag.org/icpa | en |
local.conference.details | ICPA 2022: 15th International Conference on Precision Agriculture, Minneapolis, United States of America, 26th - 29th June, 2022 | en |
local.search.author | Torgbor, Benjamin Adjah | en |
local.search.author | Rahman, Muhammad Moshiur | en |
local.search.author | Robson, Andrew | en |
local.search.author | Brinkhoff, James | en |
local.uneassociation | Yes | en |
dc.date.presented | 2022-06-27 | - |
local.atsiresearch | No | en |
local.conference.venue | Minneapolis Marriott City Center | en |
local.sensitive.cultural | No | en |
local.year.available | 2022 | en |
local.year.published | 2022 | en |
local.year.presented | 2022 | en |
local.fileurl.closedpublished | https://rune.une.edu.au/web/retrieve/41aa8f0d-c300-4dab-bf74-fa91574e5163 | en |
local.subject.for2020 | 300207 Agricultural systems analysis and modelling | en |
local.subject.for2020 | 300206 Agricultural spatial analysis and modelling | en |
local.subject.for2020 | 300802 Horticultural crop growth and development | en |
local.subject.seo2020 | 260513 Stone fruit (excl. avocado) | en |
local.subject.seo2020 | 260516 Tropical fruit | en |
local.date.start | 2022-06-26 | - |
local.date.end | 2022-06-29 | - |
Appears in Collections: | Conference Publication School of Science and Technology |
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