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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/64824
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dc.contributor.authorAbhasha Joshi-
dc.contributor.authorBiswajeet Pradhan-
dc.contributor.authorSubrata Chakraborty-
dc.contributor.authorRenuganth Varatharajoo-
dc.contributor.authorShilpa Gite-
dc.contributor.authorAbdullah Alamri-
dc.date.accessioned2025-02-22T08:04:17Z-
dc.date.available2025-02-22T08:04:17Z-
dc.date.issued2024-
dc.identifier.citationRemote Sensingen
dc.identifier.urihttps://hdl.handle.net/1959.11/64824-
dc.relation.ispartofRemote Sensing-
dc.titleDeep-Transfer-Learning Strategies for Crop Yield Prediction Using Climate Records and Satellite Image Time-Series Data-
dc.typeAwaiting Review-
dc.identifier.doi10.3390/rs16244804-
local.output.categoryY1-
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.profile.orcid#NODATA#-
local.profile.orcid#NODATA#-
local.profile.orcid#NODATA#-
local.profile.orcid#NODATA#-
local.profile.orcid#NODATA#-
local.profile.orcid#NODATA#-
local.identifier.unepublicationidune:1959.11/64824en
local.title.maintitleDeep-Transfer-Learning Strategies for Crop Yield Prediction Using Climate Records and Satellite Image Time-Series Dataen
local.output.categorydescriptionY1 Journal Article (Awaiting Review)en
local.relation.urlhttps://doi.org/10.3390/rs16244804-
local.uneassociationUnknownen
local.year.published2024en
local.subject.for20204601 Applied computingen
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