Transfer and deep learning models for daily reference evapotranspiration estimation and forecasting in Spain from local to national scale
Accurate estimation and forecasting of Reference Evapotranspiration (ET0) is critical for almost all agricultural activities and water resource management. However, the most commonly used Penman-Monteith model (FAO56-PM) requires a large amount of input data and it is difficult to compute for genera...
Saved in:
| Main Authors: | Yu Ye, Aurora González-Vidal, Miguel A. Zamora-Izquierdo, Antonio F. Skarmeta |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
|
| Series: | Smart Agricultural Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772375525001194 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Comparison of Empirical Methods to Estimated Reference Evapotranspiration
by: Vivi Fitriani, et al.
Published: (2024-09-01) -
A novel multivariate decomposition-based hybrid model for interpretable multi-step-ahead daily reference evapotranspiration forecasting
by: Ali Matoog Obaid Lebawi, et al.
Published: (2025-08-01) -
Evaluation of Eight Decomposition-Hybrid Models for Short-Term Daily Reference Evapotranspiration Prediction
by: Yunfei Chen, et al.
Published: (2025-04-01) -
hybrid model to improve reference evapotranspiration prediction: Integrating ANN and PSO
by: Hadeel Essa, et al.
Published: (2023-12-01) -
Daily reference evapotranspiration prediction using empirical and data-driven approaches: A case study of Adana plain
by: Semin Topaloğlu Paksoy, et al.
Published: (2025-01-01)