Leaf photosynthesis and respiration of three bioenergy crops in relation to temperature and leaf nitrogen: how conserved are biochemical model parameters among crop species? von Archontoulis, S. V., Yin, X., Vos, J., Danalatos, N. G., Struik, P. C.

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Phenological growth stages of Cynara cardunculus: codification and description according to the BBCH scale von Archontoulis, S.V, Struik, P.C, Vos, J, Danalatos, N.G

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Temporal dynamics of light and nitrogen vertical distributions in canopies of sunflower, kenaf and cynara von Archontoulis, S.V., Vos, J., Yin, X., Bastiaans, L., Danalatos, N.G., Struik, P.C.

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Growth and biomass productivity of kenaf ( Hibiscus cannabinus, L.) under different agricultural inputs and management practices in central Greece von Danalatos, N.G., Archontoulis, S.V.

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Planting Date, Hybrid Maturity, and Weather Effects on Maize Yield and Crop Stage von Baum, M. E., Archontoulis, S. V., Licht, M. A.

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Soybean yield and crop stage response to planting date and cultivar maturity in Iowa, USA von Kessler, A., Archontoulis, S.V., Licht, M.A.

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Inflorescence characteristics, seed composition, and allometric relationships predicting seed yields in the biomass crop Cynara cardunculus von ARCHONTOULIS, S. V., STRUIK, P. C., YIN, X., BASTIAANS, L., VOS, J., DANALATOS, N. G.

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A systems-level yield gap assessment of maize-soybean rotation under high- and low-management inputs in the Western US Corn Belt using APSIM von Balboa, G.R., Archontoulis, S.V., Salvagiotti, F., Garcia, F.O., Stewart, W.M., Francisco, E., Prasad, P.V. Vara, Ciampitti, I.A.

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Modeling perennial groundcover effects on annual maize grain crop growth with the Agricultural Production Systems sIMulator von Bartel, C. A., Archontoulis, S. V., Lenssen, A. W., Moore, K. J., Huber, I. L., Laird, D. A., Dixon, P. M.

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A CNN-RNN Framework for Crop Yield Prediction von Khaki, Saeed, Wang, Lizhi, Archontoulis, Sotirios V

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An interaction regression model for crop yield prediction von Ansarifar, Javad, Wang, Lizhi, Archontoulis, Sotirios V.

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Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt von Shahhosseini, Mohsen, Hu, Guiping, Huber, Isaiah, Archontoulis, Sotirios V.

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Forecasting Corn Yield With Machine Learning Ensembles von Shahhosseini, Mohsen, Hu, Guiping, Archontoulis, Sotirios V.

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Corn Yield Prediction With Ensemble CNN-DNN von Shahhosseini, Mohsen, Hu, Guiping, Khaki, Saeed, Archontoulis, Sotirios V.

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Maize yield and nitrate loss prediction with machine learning algorithms von Shahhosseini, Mohsen, Martinez-Feria, Rafael A, Hu, Guiping, Archontoulis, Sotirios V

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Climate change shifts forward flowering and reduces crop waterlogging stress von Liu, Ke, Harrison, Matthew Tom, Archontoulis, Sotirios V, Huth, Neil, Yang, Rui, Liu, De Li, Yan, Haoliang, Meinke, Holger, Huber, Isaiah, Feng, Puyu, Ibrahim, Ahmed, Zhang, Yunbo, Tian, Xiaohai, Zhou, Meixue

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A time-dependent parameter estimation framework for crop modeling von Akhavizadegan, Faezeh, Ansarifar, Javad, Wang, Lizhi, Huber, Isaiah, Archontoulis, Sotirios V.

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Impacts of climate change on the optimum planting date of different maize cultivars in the central US Corn Belt von Baum, Mitch E., Licht, Mark A., Huber, Isaiah, Archontoulis, Sotirios V.

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Nonlinear Regression Models and Applications in Agricultural Research von Archontoulis, Sotirios V., Miguez, Fernando E.

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Dissecting the nonlinear response of maize yield to high temperature stress with model‐data integration von Zhu, Peng, Zhuang, Qianlai, Archontoulis, Sotirios V., Bernacchi, Carl, Müller, Christoph

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