Performance of the MARS-crop yield forecasting system for the European Union: Assessing accuracy, in-season, and year-to-year improvements from 1993 to 2015
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DOI: 10.1016/j.agsy.2018.06.009
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- Paudel, Dilli & Boogaard, Hendrik & de Wit, Allard & Janssen, Sander & Osinga, Sjoukje & Pylianidis, Christos & Athanasiadis, Ioannis N., 2021. "Machine learning for large-scale crop yield forecasting," Agricultural Systems, Elsevier, vol. 187(C).
- Kaur, Harsimran & Huggins, David R. & Carlson, Bryan & Stockle, Claudio & Nelson, Roger, 2022. "Dryland fallow vs flex-cropping decisions in inland Pacific Northwest of USA," Agricultural Systems, Elsevier, vol. 201(C).
- Lin Liu & Bruno Basso, 2020. "Linking field survey with crop modeling to forecast maize yield in smallholder farmers’ fields in Tanzania," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(3), pages 537-548, June.
- Bregaglio, Simone & Ginaldi, Fabrizio & Raparelli, Elisabetta & Fila, Gianni & Bajocco, Sofia, 2023. "Improving crop yield prediction accuracy by embedding phenological heterogeneity into model parameter sets," Agricultural Systems, Elsevier, vol. 209(C).
- Igor Atamanyuk & Valerii Havrysh & Vitalii Nitsenko & Oleksii Diachenko & Mariia Tepliuk & Tetiana Chebakova & Hanna Trofimova, 2022. "Forecasting of Winter Wheat Yield: A Mathematical Model and Field Experiments," Agriculture, MDPI, vol. 13(1), pages 1-22, December.
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Keywords
Crop yield forecasting; Climate change; Crop production; AMIS;All these keywords.
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