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dc.contributor.authorZhang, Tianxiang
dc.contributor.authorSu, Jinya
dc.contributor.authorLiu, Cunjia
dc.contributor.authorChen, Wen-Hua
dc.date.accessioned2022-07-27T09:56:01Z
dc.date.available2022-07-27T09:56:01Z
dc.date.issued2019
dc.identifier217689469
dc.identifier57aed648-4e2e-4deb-9d9b-4ff0c33dcc07
dc.identifier.citationZhang , T , Su , J , Liu , C & Chen , W-H 2019 , Integration of calibration and forcing methods for predicting timely crop states by using AquoCrop-OS model . in 2 nd UK-RAS ROBOTICS AND AUTONOMOUS SYSTEMS CONFERENCE, Loughborough, 2019 . < https://www.ukras.org.uk/publications/ras-proceedings/UKRAS19/ >en
dc.identifier.urihttps://hdl.handle.net/2164/18937
dc.format.extent248826
dc.language.isoeng
dc.relation.ispartof2 nd UK-RAS ROBOTICS AND AUTONOMOUS SYSTEMS CONFERENCE, Loughborough, 2019en
dc.subjectdata assimilationen
dc.subjectBayesian calibrationen
dc.subjectsequential forcing methoden
dc.subjectcrop modelen
dc.subjectremote sensingen
dc.subjectstates predictionen
dc.subjectT Technologyen
dc.subject.lccTen
dc.titleIntegration of calibration and forcing methods for predicting timely crop states by using AquoCrop-OS modelen
dc.typeConference itemen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Machine Learningen
dc.identifier.urlhttps://www.ukras.org.uk/publications/ras-proceedings/UKRAS19/en


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