Rice plant disease diagnosing using machine learning techniques: a comprehensive review
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2523-3971
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Rice plant disease diagnosing using machine learning techniques: a comprehensive review ; volume:4 ; number:11 ; day:20 ; month:10 ; year:2022 ; pages:1-13 ; date:11.2022
SN applied sciences ; 4, Heft 11 (20.10.2022), 1-13, 11.2022
- Urheber
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Udayananda, G. K. V. L.
Shyalika, Chathurangi
Kumara, P. P. N. V.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s42452-022-05194-7
- URN
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urn:nbn:de:101:1-2023010521033924046912
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:37 MESZ
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Beteiligte
- Udayananda, G. K. V. L.
- Shyalika, Chathurangi
- Kumara, P. P. N. V.
- SpringerLink (Online service)
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