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Viscarra Rossel, Raphael A., Shen, Zefang, Ramirez Lopez, Leonardo, Behrens, Thorsten, Shi, Zhou, Wetterlind, Johanna, Sudduth, Kenneth A., Stenberg, Bo, Guerrero, Cesar, Gholizadeh, Asa, Ben-Dor, Eyal, St Luce, Mervin, Orellano, Claudio (2024) An imperative for soil spectroscopic modelling is to think global but fit local with transfer learning. Earth-Science Reviews, 254. 104797 doi:10.1016/j.earscirev.2024.104797

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Reference TypeJournal (article/letter/editorial)
TitleAn imperative for soil spectroscopic modelling is to think global but fit local with transfer learning
JournalEarth-Science Reviews
AuthorsViscarra Rossel, Raphael A.Author
Shen, ZefangAuthor
Ramirez Lopez, LeonardoAuthor
Behrens, ThorstenAuthor
Shi, ZhouAuthor
Wetterlind, JohannaAuthor
Sudduth, Kenneth A.Author
Stenberg, BoAuthor
Guerrero, CesarAuthor
Gholizadeh, AsaAuthor
Ben-Dor, EyalAuthor
St Luce, MervinAuthor
Orellano, ClaudioAuthor
Year2024 (July)Volume254
PublisherElsevier BV
DOIdoi:10.1016/j.earscirev.2024.104797Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID17387438Long-form Identifiermindat:1:5:17387438:9
GUID0
Full ReferenceViscarra Rossel, Raphael A., Shen, Zefang, Ramirez Lopez, Leonardo, Behrens, Thorsten, Shi, Zhou, Wetterlind, Johanna, Sudduth, Kenneth A., Stenberg, Bo, Guerrero, Cesar, Gholizadeh, Asa, Ben-Dor, Eyal, St Luce, Mervin, Orellano, Claudio (2024) An imperative for soil spectroscopic modelling is to think global but fit local with transfer learning. Earth-Science Reviews, 254. 104797 doi:10.1016/j.earscirev.2024.104797
Plain TextViscarra Rossel, Raphael A., Shen, Zefang, Ramirez Lopez, Leonardo, Behrens, Thorsten, Shi, Zhou, Wetterlind, Johanna, Sudduth, Kenneth A., Stenberg, Bo, Guerrero, Cesar, Gholizadeh, Asa, Ben-Dor, Eyal, St Luce, Mervin, Orellano, Claudio (2024) An imperative for soil spectroscopic modelling is to think global but fit local with transfer learning. Earth-Science Reviews, 254. 104797 doi:10.1016/j.earscirev.2024.104797
In(2024) Earth-Science Reviews Vol. 254. Elsevier BV


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