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)

مصطلحات موضوعية: Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/3e263a605d0d4a44bb018dab7a21e66a

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

URL الوصول: https://doaj.org/article/1710d72746c6419f89d9a855386e3545

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)

مصطلحات موضوعية: Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1932-6203

URL الوصول: https://doaj.org/article/56dfd7b21e134b87ac38f43bf539e9c6

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

Relation: https://www.mdpi.com/2072-4292/12/7/1095; https://doaj.org/toc/2072-4292

URL الوصول: https://doaj.org/article/85115f9d0d1e46b2afcc312307bd6cec

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

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::7e7d99b3d7f1e0969b72ed94aebce382
https://doi.org/10.1016/j.isprsjprs.2022.04.009

المؤلفون: Armin Keller, Urs Grob, Lucie Greiner, Felix Stumpf, Thorsten Behrens

المصدر: Waldböden – intakt und funktional.

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::ba9026bea4428291006a8811ae50cc80
https://doi.org/10.55419/wsl:32071

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:USP

مصطلحات 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

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::121ae6d79e6b533467e21ae21f3ad030
https://doi.org/10.1111/ejss.13271

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

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8442360e060a7ce302a76abdfc7b246a
https://doi.org/10.1111/ejss.13220

المؤلفون: Thorsten Behrens, Raphael A. Viscarra Rossel, Leonardo Ramirez-Lopez, Philipp Baumann

المصدر: Geoderma. 426:116095

مصطلحات موضوعية: Soil Science

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::6cd6145820883b57918441821c46f21d
https://doi.org/10.1016/j.geoderma.2022.116095

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

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42701a23877206403c3117c8b2aeb82a
https://doi.org/10.1111/ejss.12893