Publicação:
EVAPO: A smartphone application to estimate potential evapotranspiration using cloud gridded meteorological data from NASA-POWER system

dc.contributor.authorMaldonado, Walter [UNESP]
dc.contributor.authorValeriano, Taynara Tuany Borges [UNESP]
dc.contributor.authorde Souza Rolim, Glauco [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2019-10-06T15:25:31Z
dc.date.available2019-10-06T15:25:31Z
dc.date.issued2019-01-01
dc.description.abstractIn this study a new android app for smartphones to estimate potential evapotranspuration (PET) in real time, using gridded data from NASA-POWER, to any location in the world, would result in a more efficient irrigation and increase irrigation water conservation. The smartphone app called EVAPO uses meteorological data to calculate PET using the Penman–Monteith (FAO56) method. To evaluate performance of the proposed method, we compared PET estimated by the EVAPO with that estimated from climatic data from conventional surface meteorological stations. The accuracy, tendency and precision of the models were determined using the Willmott et al. (1985) concordance index (d), systematic root mean square error (RMSEs) and determination index (R2), respectively. The results obtained were satisfactory for all studied locations whit mean values of 0.67, 0.95 (mm) and 0.72 for d, RMSEs and R2, respectively. The app can be accessed in the Play Store (free): https://play.google.com/store/apps/details?id=br.com.maldonado.instantet0.en
dc.description.affiliationSão Paulo State University (Unesp) School of Agricultural and Veterinarian Sciences, Access way Prof., Paulo, Donato, Castellane, s/n, 14884-900, Department of Mathematical Sciences
dc.description.affiliationUnespSão Paulo State University (Unesp) School of Agricultural and Veterinarian Sciences, Access way Prof., Paulo, Donato, Castellane, s/n, 14884-900, Department of Mathematical Sciences
dc.format.extent187-192
dc.identifierhttp://dx.doi.org/10.1016/j.compag.2018.10.032
dc.identifier.citationComputers and Electronics in Agriculture, v. 156, p. 187-192.
dc.identifier.doi10.1016/j.compag.2018.10.032
dc.identifier.issn0168-1699
dc.identifier.scopus2-s2.0-85057193046
dc.identifier.urihttp://hdl.handle.net/11449/187101
dc.language.isoeng
dc.relation.ispartofComputers and Electronics in Agriculture
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectBig data
dc.subjectInternet of things
dc.subjectIrrigation
dc.subjectRational use of water
dc.titleEVAPO: A smartphone application to estimate potential evapotranspiration using cloud gridded meteorological data from NASA-POWER systemen
dc.typeArtigo
dspace.entity.typePublication
unesp.author.orcid0000-0003-4683-3203[3]

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