Predicting greenhouse daily light integral using photosynthetic photon flux density and finite difference method (Englisch)
- Neue Suche nach: Lee, Sang-Deok
- Neue Suche nach: Hong, In-Kyoung
- Neue Suche nach: Yoon, Hyung-Kwon
- Neue Suche nach: Jung, Young-Bin
- Neue Suche nach: Kim, Woo-Young
- Neue Suche nach: Han, Seung-Won
- Neue Suche nach: Lee, Sang-Deok
- Neue Suche nach: Hong, In-Kyoung
- Neue Suche nach: Yoon, Hyung-Kwon
- Neue Suche nach: Jung, Young-Bin
- Neue Suche nach: Kim, Woo-Young
- Neue Suche nach: Han, Seung-Won
In:
Computers and Electronics in Agriculture
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202
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2022
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ISSN:
- Aufsatz (Zeitschrift) / Elektronische Ressource
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Titel:Predicting greenhouse daily light integral using photosynthetic photon flux density and finite difference method
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Beteiligte:Lee, Sang-Deok ( Autor:in ) / Hong, In-Kyoung ( Autor:in ) / Yoon, Hyung-Kwon ( Autor:in ) / Jung, Young-Bin ( Autor:in ) / Kim, Woo-Young ( Autor:in ) / Han, Seung-Won ( Autor:in )
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Erschienen in:
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Erscheinungsdatum:29.09.2022
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ISSN:
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DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:
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Datenquelle:
Inhaltsverzeichnis – Band 202
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