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Interpreting and forecasting crop-specific irrigation water productivity in an arid irrigated area using explainable machine learning and scenario simulation

Crossref DOI link: https://doi.org/10.1007/s00271-025-01069-y

Published Online: 2026-01-12

Published Print: 2026-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Lei, Yang

He, Liuyue

Jiang, Shouzheng

Huo, Zailin

Kisekka, Isaya

Xue, Jingyuan
Funding

Funding for this research was provided by:

Youth Program of the National Natural Science Foundation of China (52009132)

the Ministry of Education in China Project of Humanities and Social Sciences (24YJCZH367)

Fundamental Research Funds for the Central Universities (20822041G4066)

Sichuan University postdoctoral interdisciplinary Innovation Fund
License Information

Text and Data Mining valid from 2026-01-12

Version of Record valid from 2026-01-12
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Article History

Received: 16 August 2025

Accepted: 4 December 2025

First Online: 12 January 2026

Declarations

:

: The authors declare no competing interests.

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