Transforming agriculture with Machine Learning, Deep Learning, and IoT: perspectives from Ethiopia—challenges and opportunities
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Transforming agriculture with Machine Learning, Deep Learning, and IoT: perspectives from Ethiopia—challenges and opportunities ; volume:2 ; number:1 ; day:1 ; month:10 ; year:2024 ; pages:1-34 ; date:12.2024
Discover agriculture ; 2, Heft 1 (1.10.2024), 1-34, 12.2024
- Urheber
-
Benti, Natei Ermias
Chaka, Mesfin Diro
Semie, Addisu Gezahegn
Warkineh, Bikila
Soromessa, Teshome
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s44279-024-00066-7
- URN
-
urn:nbn:de:101:1-2412182107106.511060945814
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:29 MESZ
Datenpartner
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Beteiligte
- Benti, Natei Ermias
- Chaka, Mesfin Diro
- Semie, Addisu Gezahegn
- Warkineh, Bikila
- Soromessa, Teshome
- SpringerLink (Online service)
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