Optimization of deficit irrigation system for drip-irrigated corn in northern Xinjiang using dynamic reconstruction and dual physics-informed neural networks to drive AquaCrop
This study can provide theoretical methods with both mechanistic interpretability and decision-making accuracy for the dynamic optimal systems of drip-irrigated corn under water resource constraints in arid regions, and offer theoretical support and technical reference for agricultural water management in arid regions.
Authors
- Haonan Zhang (ORCID: https://orcid.org/0009-0007-9608-7217)
- Liang Ma (ORCID: https://orcid.org/0000-0001-7034-9011)
- Jinghua Zhao (ORCID: https://orcid.org/0000-0001-7415-1619)
- Ming Hong (ORCID: https://orcid.org/0000-0001-8813-0122)
Institutions
- Xinjiang Agricultural University (CN)
- Xinjiang Institute of Water Resources and Hydropower Research (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2025-09-19
- DOI
- https://doi.org/10.3389/fpls.2025.1678277
- Citations
- 1
- Primary Topic
- Irrigation Practices and Water Management
- Type
- article
- Field-Weighted Citation Impact
- 1.19