Predicting rice (Oryza sativa L.) canopy temperature difference and estimating its environmental response in two rice cultivars, 'Koshihikari' and 'Takanari', based on a neural network.

Saved in:
Bibliographic Details
Title: Predicting rice (Oryza sativa L.) canopy temperature difference and estimating its environmental response in two rice cultivars, 'Koshihikari' and 'Takanari', based on a neural network.
Authors: Kondo, Rintaro1 (AUTHOR), Tanaka, Yu2 (AUTHOR) tanaka.yu.2s@kyoto-u.ac.jp, Shiraiwa, Tatsuhiko2 (AUTHOR)
Source: Plant Production Science. Aug2022, Vol. 25 Issue 3, p394-406. 13p.
Database: Environment Complete
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: eih
DbLabel: Environment Complete
An: 159297148
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Predicting rice (Oryza sativa L.) canopy temperature difference and estimating its environmental response in two rice cultivars, 'Koshihikari' and 'Takanari', based on a neural network.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Kondo%2C+Rintaro%22">Kondo, Rintaro</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tanaka%2C+Yu%22">Tanaka, Yu</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> tanaka.yu.2s@kyoto-u.ac.jp</i><br /><searchLink fieldCode="AR" term="%22Shiraiwa%2C+Tatsuhiko%22">Shiraiwa, Tatsuhiko</searchLink><relatesTo>2</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Plant+Production+Science%22">Plant Production Science</searchLink>. Aug2022, Vol. 25 Issue 3, p394-406. 13p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=159297148
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/1343943X.2022.2103003
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 394
    Titles:
      – TitleFull: Predicting rice (Oryza sativa L.) canopy temperature difference and estimating its environmental response in two rice cultivars, 'Koshihikari' and 'Takanari', based on a neural network.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Kondo, Rintaro
      – PersonEntity:
          Name:
            NameFull: Tanaka, Yu
      – PersonEntity:
          Name:
            NameFull: Shiraiwa, Tatsuhiko
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 08
              Text: Aug2022
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 1343943X
          Numbering:
            – Type: volume
              Value: 25
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: Plant Production Science
              Type: main
ResultId 1