View in EDS HTML Full Text PDF Full Text

Assessing the Impact of Geographical and Meteorological Information on Machine Learning-Based Reproduction of FAO Penman–Monteith Reference Evapotranspiration.

Saved in:
Bibliographic Details
Title: Assessing the Impact of Geographical and Meteorological Information on Machine Learning-Based Reproduction of FAO Penman–Monteith Reference Evapotranspiration.
Authors: Küçüktopçu, Erdem1 (AUTHOR), Šařec, Petr2 (AUTHOR), Novák, Václav2,3 (AUTHOR) novakvaclav@tf.czu.cz, Tunca, Emre1,3 (AUTHOR), Procházka, Martin2 (AUTHOR)
Source: Agronomy. Aug2026, Vol. 16 Issue 15, p1409. 25p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 196243373
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Assessing the Impact of Geographical and Meteorological Information on Machine Learning-Based Reproduction of FAO Penman–Monteith Reference Evapotranspiration.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Küçüktopçu%2C+Erdem%22">Küçüktopçu, Erdem</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Šařec%2C+Petr%22">Šařec, Petr</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Novák%2C+Václav%22">Novák, Václav</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<i> novakvaclav@tf.czu.cz</i><br /><searchLink fieldCode="AR" term="%22Tunca%2C+Emre%22">Tunca, Emre</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Procházka%2C+Martin%22">Procházka, Martin</searchLink><relatesTo>2</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Agronomy%22">Agronomy</searchLink>. Aug2026, Vol. 16 Issue 15, p1409. 25p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=196243373
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/agronomy16151409
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 25
        StartPage: 1409
    Titles:
      – TitleFull: Assessing the Impact of Geographical and Meteorological Information on Machine Learning-Based Reproduction of FAO Penman–Monteith Reference Evapotranspiration.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Küçüktopçu, Erdem
      – PersonEntity:
          Name:
            NameFull: Šařec, Petr
      – PersonEntity:
          Name:
            NameFull: Novák, Václav
      – PersonEntity:
          Name:
            NameFull: Tunca, Emre
      – PersonEntity:
          Name:
            NameFull: Procházka, Martin
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 08
              Text: Aug2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 20734395
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 15
          Titles:
            – TitleFull: Agronomy
              Type: main
ResultId 1