A Comparison Between Major Artificial Intelligence Models for Crop Yield Prediction: Case Study of the Midwestern United States, 2006–2015

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dc.contributor.authorNari Kim
dc.contributor.authorKyung-Ja Ha
dc.contributor.authorNo-Wook Park
dc.contributor.authorJaeil Cho
dc.contributor.authorSungwook Hong
dc.contributor.authorYang-Won Lee
dc.date.accessioned2025-05-14T15:17:32Z
dc.date.available2025-05-14T15:17:32Z
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/28242
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleA Comparison Between Major Artificial Intelligence Models for Crop Yield Prediction: Case Study of the Midwestern United States, 2006–2015
dc.typesupplierxml
dspace.entity.typeDistribution
relation.isDatasetOfDistribution61de44bd-b0d8-445d-bf70-fc645da27255
relation.isDatasetOfDistribution.latestForDiscovery61de44bd-b0d8-445d-bf70-fc645da27255

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