Matching Data Splitting to Extrapolation Targets in Soil Machine Learning: When Is Soil-wise Validation Needed?

Fengxian Chen, Jan Vanderborght

Open source

DOI: 10.1021/acs.est.6c06032
Published: 2026-07-29
Container: Environmental Science & Technology
Publisher: American Chemical Society (ACS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/acs.est.6c06032,
  title = {Matching
Data Splitting to Extrapolation Targets in
Soil Machine Learning: When Is Soil-wise Validation Needed?},
  author = {Fengxian Chen and Jan Vanderborght},
  year = {2026},
  journal = {Environmental Science \&amp;
Technology},
  doi = {10.1021/acs.est.6c06032},
  url = {https://doi.org/10.1021/acs.est.6c06032}
}

RIS

TY  - JOUR
TI  - Matching
Data Splitting to Extrapolation Targets in
Soil Machine Learning: When Is Soil-wise Validation Needed?
AU  - Fengxian Chen
AU  - Jan Vanderborght
PY  - 2026
JO  - Environmental Science &amp;
Technology
DO  - 10.1021/acs.est.6c06032
UR  - https://doi.org/10.1021/acs.est.6c06032
ER  -

APA

Chen, F., & Vanderborght, J. (2026). Matching Data Splitting to Extrapolation Targets in Soil Machine Learning: When Is Soil-wise Validation Needed?. Environmental Science & Technology. https://doi.org/10.1021/acs.est.6c06032

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crossref · retrieved 2026-11-05T11:18:43.763Z