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.
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| 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. |
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| 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 |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: eih DbLabel: Environment Complete An: 159297148 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| 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 |
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