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GIScience & Remote Sensing
Volume 61, 2024 - Issue 1
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Research Article
Ensemble learning-based crop yield estimation: a scalable approach for supporting agricultural statistics
Patric BrandtJulius Kühn Institute (JKI) – Federal Research Centre for Cultivated Plants, Institute for Crop and Soil Science, Braunschweig, GermanyCorrespondence[email protected]
https://orcid.org/0000-0003-4167-5437View further author information
Florian BeyerJulius Kühn Institute (JKI) – Federal Research Centre for Cultivated Plants, Institute for Crop and Soil Science, Braunschweig, Germany
https://orcid.org/0000-0002-9203-320XView further author information
Peter BorrmannJulius Kühn Institute (JKI) – Federal Research Centre for Cultivated Plants, Institute for Crop and Soil Science, Braunschweig, Germany
https://orcid.org/0000-0002-0780-5667View further author information
Markus MöllerJulius Kühn Institute (JKI) – Federal Research Centre for Cultivated Plants, Institute for Crop and Soil Science, Braunschweig, Germany
https://orcid.org/0000-0002-1918-7747View further author information
Heike GerighausenJulius Kühn Institute (JKI) – Federal Research Centre for Cultivated Plants, Institute for Crop and Soil Science, Braunschweig, Germany
https://orcid.org/0000-0001-5042-8548View further author information
Article: 2367808
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Received 03 Feb 2024, Accepted 10 Jun 2024, Published online: 28 Jun 2024
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