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

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datacite.relatedItem.firstPage240
datacite.relatedItem.issue5
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
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datacite.relatedItem.titleIJGI
datacite.relatedItem.volume8
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.accessioned2025-05-14T15:17:31Z
dc.date.available2025-05-14T15:17:31Z
dc.date.issued2019
dc.identifier.doihttps://doi.org/10.3390/ijgi8050240
dc.identifier.otherjz000156-0238
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/28240
dc.publisherMDPI AG
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.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/28241
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