Huber, I., Wang, L., Hatfield, J. L., Hanna, H. M., & Archontoulis, S. V. (2023). Modeling days suitable for fieldwork using machine learning, process-based, and rule-based models. Agricultural Systems, 206. https://doi.org/10.1016/j.agsy.2023.103603

HUBER, Isaiah, WANG, Lizhi, HATFIELD, Jerry L., HANNA, H. Mark und ARCHONTOULIS, Sotirios V., 2023. Modeling days suitable for fieldwork using machine learning, process-based, and rule-based models. Agricultural Systems. 1 März 2023. Vol. 206, , . DOI 10.1016/j.agsy.2023.103603.

Huber, I., L. Wang, J. L. Hatfield, H. M. Hanna, und S. V. Archontoulis. „Modeling Days Suitable for Fieldwork Using Machine Learning, Process-Based, and Rule-Based Models“. Agricultural Systems, Bd. 206, März 2023, https://doi.org/10.1016/j.agsy.2023.103603.

Huber, Isaiah/Wang, Lizhi/Hatfield, Jerry L./Hanna, H. Mark/Archontoulis, Sotirios V.: Modeling days suitable for fieldwork using machine learning, process-based, and rule-based models, Agricultural Systems 2023,

Huber, I., Wang, L., Hatfield, J.L., Hanna, H.M. und Archontoulis, S.V. (2023), „Modeling days suitable for fieldwork using machine learning, process-based, and rule-based models“, Agricultural Systems, Vol. 206, verfügbar unter:https://doi.org/10.1016/j.agsy.2023.103603.