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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- Balkovič, Juraj & van der Velde, Marijn & Schmid, Erwin & Skalský, Rastislav & Khabarov, Nikolay & Obersteiner, Michael & Stürmer, Bernhard & Xiong, Wei, 2013. "Pan-European crop modelling with EPIC: Implementation, up-scaling and regional crop yield validation," Agricultural Systems, Elsevier, vol. 120(C), pages 61-75.
- Patricio Grassini & Kent M. Eskridge & Kenneth G. Cassman, 2013. "Distinguishing between yield advances and yield plateaus in historical crop production trends," Nature Communications, Nature, vol. 4(1), pages 1-11, December.
- van der Velde, Marijn & Biavetti, Irene & El-Aydam, Mohamed & Niemeyer, Stefan & Santini, Fabien & van den Berg, Maurits, 2019. "Use and relevance of European Union crop monitoring and yield forecasts," Agricultural Systems, Elsevier, vol. 168(C), pages 224-230.
- Hyndman, Rob J. & Koehler, Anne B., 2006.
"Another look at measures of forecast accuracy,"
International Journal of Forecasting, Elsevier, vol. 22(4), pages 679-688.
- Rob J. Hyndman & Anne B. Koehler, 2005. "Another Look at Measures of Forecast Accuracy," Monash Econometrics and Business Statistics Working Papers 13/05, Monash University, Department of Econometrics and Business Statistics.
- Jig Han Jeong & Jonathan P Resop & Nathaniel D Mueller & David H Fleisher & Kyungdahm Yun & Ethan E Butler & Dennis J Timlin & Kyo-Moon Shim & James S Gerber & Vangimalla R Reddy & Soo-Hyung Kim, 2016. "Random Forests for Global and Regional Crop Yield Predictions," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-15, June.
- Christian Folberth & Rastislav Skalský & Elena Moltchanova & Juraj Balkovič & Ligia B. Azevedo & Michael Obersteiner & Marijn van der Velde, 2016. "Uncertainty in soil data can outweigh climate impact signals in global crop yield simulations," Nature Communications, Nature, vol. 7(1), pages 1-13, September.
- Bussay, Attila & van der Velde, Marijn & Fumagalli, Davide & Seguini, Lorenzo, 2015. "Improving operational maize yield forecasting in Hungary," Agricultural Systems, Elsevier, vol. 141(C), pages 94-106.
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- 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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