Potential of Machine learning techniques compared to MIKE-SHE model for drain flow predictions in tile-drained agricultural areas of Denmark

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Potential of Machine learning techniques compared to MIKE-SHE model for drain flow predictions in tile-drained agricultural areas of Denmark ; day:31 ; month:08 ; year:2023 ; pages:1-29 ; extent:29
EGUsphere ; (31.08.2023), 1-29 (gesamt 29)

Classification
Wirtschaft

Creator
Mahmood, Hafsa
Ferré, Ty P. A.
Schneider, Raphael J. M.
Stisen, Simon
Frederiksen, Rasmus R.
Christiansen, Anders V.

DOI
10.5194/egusphere-2023-1872
URN
urn:nbn:de:101:1-2023090704544921615405
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.11.2025, 1:22 AM CET

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Associated

  • Mahmood, Hafsa
  • Ferré, Ty P. A.
  • Schneider, Raphael J. M.
  • Stisen, Simon
  • Frederiksen, Rasmus R.
  • Christiansen, Anders V.

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