Ruane, A. C., Hudson, N. I., Asseng, S., Camarrano, D., Ewert, F., Martre, P., Boote, K. J., Thorburn, P. J., Aggarwal, P. K., Angulo, C., Basso, B., Bertuzzi, P., Biernath, C., brisson, N., Challinor, A. J., Doltra, J., Gayler, S., Goldberg, R., Grant, R. F. ... Wolf, J. (2016).
Multi-wheat-model ensemble responses to interannual climatic variability.
Environmental Modelling & Software,
81, 86-101.
https://doi.org/10.1016/j.envsoft.2016.03.008
Ruan, G., Li, X., Yuan, F.
, Cammarano, D., Ata-UI-Karim, S. T., Liu, X., Tian, Y., Zhu, Y., Cao, W. & Cao, Q. (2022).
Improving wheat yield prediction integrating proximal sensing and weather data with machine learning.
Computers and Electronics in Agriculture,
195, Artikel 106852.
https://doi.org/10.1016/j.compag.2022.106852