From data to interpretable models: machine learning for soil moisture forecasting

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2364-4168

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: From data to interpretable models: machine learning for soil moisture forecasting ; day:31 ; month:8 ; year:2022 ; pages:1-24
International journal of data science and analytics ; (31.8.2022), 1-24

Creator: Basak, Aniruddha
Schmidt, Kevin M.
Mengshoel, Ole Jakob

Contributor: SpringerLink (Online service)

DOI: 10.1007/s41060-022-00347-8

URN: urn:nbn:de:101:1-2022111821004864441439

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:29 AM CEST

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Basak, Aniruddha
Schmidt, Kevin M.
Mengshoel, Ole Jakob
SpringerLink (Online service)

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From data to interpretable models: machine learning for soil moisture forecasting

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Other Objects (12)

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