Precrop payoffs: causal machine learning reveals large but variable yield benefits of crop rotation in major breadbaskets

Dan M Kluger, Stefania Di Tommaso, David B Lobell

Open source

DOI: 10.1088/1748-9326/ae0f45
Published: 2025-10-17
Container: Environmental Research Letters
Publisher: IOP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1088/1748-9326/ae0f45,
  title = {Precrop payoffs: causal machine learning reveals large but variable yield benefits of crop rotation in major breadbaskets},
  author = {Dan M Kluger and Stefania Di Tommaso and David B Lobell},
  year = {2025},
  journal = {Environmental Research Letters},
  doi = {10.1088/1748-9326/ae0f45},
  url = {https://doi.org/10.1088/1748-9326/ae0f45}
}

RIS

TY  - JOUR
TI  - Precrop payoffs: causal machine learning reveals large but variable yield benefits of crop rotation in major breadbaskets
AU  - Dan M Kluger
AU  - Stefania Di Tommaso
AU  - David B Lobell
PY  - 2025
JO  - Environmental Research Letters
DO  - 10.1088/1748-9326/ae0f45
UR  - https://doi.org/10.1088/1748-9326/ae0f45
ER  -

APA

Kluger, D. M., Tommaso, S. D., & Lobell, D. B. (2025). Precrop payoffs: causal machine learning reveals large but variable yield benefits of crop rotation in major breadbaskets. Environmental Research Letters. https://doi.org/10.1088/1748-9326/ae0f45

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crossref · retrieved 2026-09-25T10:42:22.744Z