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1دورية أكاديمية
المؤلفون: Tobias Rentschler, Martin Bartelheim, Thorsten Behrens, Marta Díaz-Zorita Bonilla, Sandra Teuber, Thomas Scholten, Karsten Schmidt
المصدر: Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
وصف الملف: electronic resource
Relation: https://doaj.org/toc/2045-2322
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2دورية أكاديمية
المؤلفون: Tobias Rentschler, Ulrike Werban, Mario Ahner, Thorsten Behrens, Philipp Gries, Thomas Scholten, Sandra Teuber, Karsten Schmidt
المصدر: Vadose Zone Journal, Vol 19, Iss 1, Pp n/a-n/a (2020)
مصطلحات موضوعية: Environmental sciences, GE1-350, Geology, QE1-996.5
وصف الملف: electronic resource
Relation: https://doaj.org/toc/1539-1663
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3دورية أكاديمية
المؤلفون: Tobias Rentschler, Philipp Gries, Thorsten Behrens, Helge Bruelheide, Peter Kühn, Steffen Seitz, Xuezheng Shi, Stefan Trogisch, Thomas Scholten, Karsten Schmidt
المصدر: PLoS ONE, Vol 14, Iss 8, p e0220881 (2019)
وصف الملف: electronic resource
Relation: https://doaj.org/toc/1932-6203
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4دورية أكاديمية
المؤلفون: Ruhollah Taghizadeh-Mehrjardi, Karsten Schmidt, Alireza Amirian-Chakan, Tobias Rentschler, Mojtaba Zeraatpisheh, Fereydoon Sarmadian, Roozbeh Valavi, Naser Davatgar, Thorsten Behrens, Thomas Scholten
المصدر: Remote Sensing, Vol 12, Iss 7, p 1095 (2020)
مصطلحات موضوعية: digital soil mapping, machine learning models, stacking of models, spatial block cross-validation, deep learning, Science
وصف الملف: electronic resource
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5
المؤلفون: Zefang Shen, Leonardo Ramirez-Lopez, Thorsten Behrens, Lei Cui, Mingxi Zhang, Lewis Walden, Johanna Wetterlind, Zhou Shi, Kenneth A Sudduth, Philipp Baumann, Yongze Song, Kevin Catambay, Raphael A. Viscarra Rossel
المصدر: ISPRS Journal of Photogrammetry and Remote Sensing. 188:190-200
مصطلحات موضوعية: Computers in Earth Sciences, Engineering (miscellaneous), Atomic and Molecular Physics, and Optics, Computer Science Applications
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6
المؤلفون: Raphael A. Viscarra Rossel, Thorsten Behrens, Eyal Ben‐Dor, Sabine Chabrillat, José Alexandre Melo Demattê, Yufeng Ge, Cecile Gomez, César Guerrero, Yi Peng, Leonardo Ramirez‐Lopez, Zhou Shi, Bo Stenberg, Richard Webster, Leigh Winowiecki, Zefang Shen
المساهمون: School of Earth and Planetary Science [Perth - Curtin university], Curtin University [Perth], Planning and Transport Research Centre (PATREC)-Planning and Transport Research Centre (PATREC), Swiss Competence Center for Soils, Tel Aviv University (TAU), German Research Centre for Geosciences - Helmholtz-Centre Potsdam (GFZ), Leibniz Universität Hannover=Leibniz University Hannover, Universidade de São Paulo = University of São Paulo (USP), University of Nebraska–Lincoln, University of Nebraska System, Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème (UMR LISAH), Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Institut de Recherche pour le Développement (IRD), Universidad Miguel Hernández [Elche] (UMH), Food and Agriculture Organization of the United Nations [Rome, Italie] (FAO), BÜCHI Labortechnik AG, Partenaires INRAE, Zhejiang University, Swedish University of Agricultural Sciences (SLU), Rothamsted Research, Biotechnology and Biological Sciences Research Council (BBSRC), World Agroforestry Center [CGIAR, Kenya] (ICRAF), Consultative Group on International Agricultural Research [CGIAR] (CGIAR), Raphael A. Viscarra Rossel received funding from the Australian Government via grant ACSRIV000077.
المصدر: European Journal of Soil Science
European Journal of Soil Science, 2022, 73 (4), ⟨10.1111/ejss.13271⟩
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USPمصطلحات موضوعية: Model localization, Reflectance spectroscopy, Soil constituents, Spectral libraries, [SDV]Life Sciences [q-bio], Calibration, Machine learning, Validation, Soil Science, Regression, SOLOS
وصف الملف: application/pdf
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7
المؤلفون: Philipp Baumann, Juhwan Lee, Thorsten Behrens, Asim Biswas, Johan Six, Gordon McLachlan, Raphael A. Viscarra Rossel
المصدر: European Journal of Soil Science, 73 (2)
مصطلحات موضوعية: machine learning, soil water retention, available soil water, visible–near-infrared spectroscopy, water retention models, Soil Science
وصف الملف: application/application/pdf
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8
المصدر: Geoderma. 426:116095
مصطلحات موضوعية: Soil Science
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9
المؤلفون: Thomas Scholten, Mohammad Jamshidi, Kamran Eftekhari, Ruhollah Taghizadeh-Mehrjardi, Thorsten Behrens, Norair Toomanian, Naser Davatgar, Karsten Schmidt
المساهمون: Behrens, Thorsten, 1 Department of Geosciences, Soil Science and Geomorphology University of Tübingen Tübingen Germany, Jamshidi, Mohammad, 4 Soil and Water Research Institute, Agricultural Research, Education and Extension Organization Karaj Iran, Davatgar, Naser, Toomanian, Norair, 5 Soil and Water Research Department Isfahan Agricultural and Natural Resources Research and Education Center, AREEO Isfahan Iran, Scholten, Thomas
المصدر: European Journal of Soil Science. 71:352-368
مصطلحات موضوعية: Soil map, business.industry, Computer science, Soil Science, Sampling (statistics), Soil classification, covariates, Machine learning, computer.software_genre, 631.4, Random forest, machine learning, Resampling, Digital soil mapping, Oversampling, Soil horizon, imbalanced data, Artificial intelligence, business, computer, random forest, soil legacy data
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10
المؤلفون: R.A. Viscarra Rossel, Yuanyuan Yang, Andrew Bissett, Thorsten Behrens, Kingsley Dixon, Paul Nevil, Shuo Li
المصدر: Soil Biology and Biochemistry. 170:108694
مصطلحات موضوعية: Soil Science, Microbiology