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Response of wheat growth, grain yield and water use to elevated CO 2 under a Free-Air CO 2 Enrichment (FACE) experiment and modelling in a semi-arid environment, , , , , , , , , and 3 other author(s). Global Change Biology, 21 (7): 2670--2686 (Jul 1, 2015)Residual correlation and ensemble modelling to improve crop and grassland models., , , , , , , , , and 22 other author(s). Environ. Model. Softw., (March 2023)How do various maize crop models vary in their responses to climate change factors?, , , , , , , , , and 28 other author(s). Glob Change Biol, 20 (7): 2301--2320 (Jul 1, 2014)Using Dense Time-Series of C-Band Sar Imagery for Classification of Diverse, Worldwide Agricultural Systems., , , , , , , , , and 8 other author(s). IGARSS, page 6231-6234. IEEE, (2019)Multi-wheat-model ensemble responses to interannual climate variability, , , , , , , , , and 38 other author(s). Environmental Modelling & Software, (July 2016)Response of wheat growth, grain yield and water use to elevated CO2under a Free-Air CO2Enrichment (FACE) experiment and modelling in a semi-arid environment, , , , , , , , , and 3 other author(s). Global Change Biology, 21 (7): 2670--2686 (February 2015)Assessing and modeling economic and environmental impact of wheat nitrogen management in Belgium., , , , and . Environ. Model. Softw., (2016)Predicting pasture biomass using a statistical model and machine learning algorithm implemented with remotely sensed imagery., , , , , , and . Comput. Electron. Agric., (2021)Response of wheat growth, grain yield and water use to elevated CO2 under a Free-Air CO2 Enrichment (FACE) experiment and modelling in a semi-arid environment, , , , , , , , , and 3 other author(s). GLOBAL CHANGE BIOLOGY, (July 2015)How do various maize crop models vary in their responses to climate change factors?, , , , , , , , , and 28 other author(s). GLOBAL CHANGE BIOLOGY, (July 2014)