A probabilistic framework for forecasting maize crop yield response to agricultural inputs with sub-seasonal climate predictions
Published in Environmental Research Letters, 2023
Recommended citation: Lacasa, J., Messina, C.D., and Ciampitti I.A. "A probabilistic framework for forecasting maize crop yield response to agricultural inputs with sub-seasonal climate predictions." Environ. Res. Lett. (2023) https://iopscience.iop.org/article/10.1088/1748-9326/acd8d1/meta
This study may contribute to the development of decision-support tools that can trigger discussions between farmers and consultants about management strategies and their associated risks.
Recommended citation: Lacasa, J., Messina, C.D., and Ciampitti I.A. A probabilistic framework for forecasting maize crop yield response to agricultural inputs with sub-seasonal climate predictions. Environ. Res. Lett. (2023). https://doi.org/10.1088/1748-9326/acd8d1