Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1174622
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dc.contributor.authorANDRADE JUNIOR, A. S. de
dc.contributor.authorSOBRAL, A. H. S.
dc.contributor.authorBASTOS, E. A.
dc.contributor.authorCASARI, R. A. das C. N.
dc.contributor.authorROIG, H. L.
dc.contributor.authorMOURA, M. S. B. de
dc.date.accessioned2025-04-08T14:57:55Z-
dc.date.available2025-04-08T14:57:55Z-
dc.date.created2025-04-08
dc.date.issued2025
dc.identifier.citationRevista Brasileira de Engenharia Agrícola e Ambiental, v. 29, n. 8, e289380, 2025.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1174622-
dc.descriptionModels based on surface temperature have been promising for predicting evapotranspiration. This study aimed to evaluate the DATTUTDUT model in predicting the evapotranspiration of cowpea BRS-Inhuma using images from a portable thermal camera. The research was conducted between September and October 2022 at the Embrapa Meio-Norte experimental station in Teresina, Piauí state, Brazil. Cowpea evapotranspiration was measured on hourly and daily scales using three weighing lysimeters. Thermal images were acquired 19, 26, 29, 37, 43, and 57 days after sowing.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectQGIS
dc.subjectQWater plugin
dc.titleEvaluation of the DATTUTDUT model for predicting evapotranspiration in cowpea plants using thermal imaging.
dc.typeArtigo de periódico
dc.subject.thesagroVigna Unguiculata
dc.subject.thesagroAgricultura de Precisão
riaa.ainfo.id1174622
riaa.ainfo.lastupdate2025-04-08
dc.contributor.institutionADERSON SOARES DE ANDRADE JUNIOR, CPAMN; AMANDA H. S. SOBRAL, UNIVERSIDADE FEDERAL DO PIAUÍ; EDSON ALVES BASTOS, CPAMN; RAPHAEL A. DAS C. N. CASARI, UNIVERSIDADE DE BRASÍLIA; HENRIQUE L. ROIG, UNIVERSIDADE DE BRASÍLIA; MAGNA SOELMA BESERRA DE MOURA, CNPAT.
Appears in Collections:Artigo em periódico indexado (CPAMN)

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