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Establishment of a Reference Evapotranspiration Forecasting Model Based on Machine Learning

https://doi.org/10.3390/agronomy14050939

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1 of the 19 references listed on this page is in the Retraction Watch database as retracted (export 2026-10-21): 10.1371/journal.pone.0260971 (notice 2022-08-31).

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-69456-6_15openalex-snapshot

Hierarchical Attention Network with XGBoost for Recognizing Insufficiently Supported Argument

inferredcites →https://doi.org/10.1016/j.agwat.2020.106386openalex-snapshot

Forecast of short-term daily reference evapotranspiration under limited meteorological variables using a hybrid bi-directional long short-term memory model (Bi-LSTM)

inferredcites →https://doi.org/10.1016/j.compag.2020.105700openalex-snapshot

Reference evapotranspiration time series forecasting with ensemble of convolutional neural networks

inferredcites →https://doi.org/10.1016/s0378-3774(98)00069-9openalex-snapshot

Water–yield relations and optimal irrigation scheduling of wheat in the Mediterranean region

inferredcites →https://doi.org/10.1017/cbo9781139626866.011openalex-snapshot

Correlation and Causation

inferredcites →https://doi.org/10.1021/acs.jcim.9b00633openalex-snapshot

LightGBM: An Effective and Scalable Algorithm for Prediction of Chemical Toxicity–Application to the Tox21 and Mutagenicity Data Sets

inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot

Random Forests

inferredcites →https://doi.org/10.1038/s41598-021-90835-xopenalex-snapshot

A time-dependent parameter estimation framework for crop modeling

inferredcites →https://doi.org/10.1038/s41598-022-15688-4openalex-snapshot

Multivariate analysis methods improve the selection of strawberry genotypes with low cold requirement

inferredcites →https://doi.org/10.1080/01621459.1963.10500855openalex-snapshot

Problems in the Analysis of Survey Data, and a Proposal

inferredcites →https://doi.org/10.1111/tgis.12557openalex-snapshot

Spatially constrained regionalization with multilayer perceptron

inferredcites →https://doi.org/10.1145/2939672.2939785openalex-snapshot

XGBoost

inferredcites →https://doi.org/10.1175/1520-0493(1972)100<0081:otaosh>2.3.co;2openalex-snapshot

On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters

inferredcites →https://doi.org/10.1175/jhm-d-18-0082.1openalex-snapshot

Evaluation of Evapotranspiration over a Semiarid Region Using Multiresolution Data Sources

inferredcites →https://doi.org/10.1214/20-ejs1758openalex-snapshot

Modeling of time series using random forests: Theoretical developments

inferredcites →https://doi.org/10.13031/2013.26773openalex-snapshot

Reference Crop Evapotranspiration from Temperature

inferredcites →https://doi.org/10.1371/journal.pone.0260971openalex-snapshot

Path analysis based on genetic association of yield components and insects pest in upland cotton varieties

inferredcites →https://doi.org/10.21786/bbrc/11.4/22openalex-snapshot

Deep learning techniques and their applications: A short review

inferredcites →https://doi.org/10.47278/journal.ijab/2022.033openalex-snapshot

Sustainable Water Use in Agriculture: A Review of Worldwide Research

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.5118476openalex-extracted

Integrated Seasonal-Trend Decomposition Using Loess for Multi-Head Self-Attention Mechanism and Bidirectional Long Short-Term Memory Based Reference Evapotranspiration Prediction

inferred← citeshttps://doi.org/10.1002/wwp2.70093openalex-snapshot

Prediction of Evapotranspiration With WEAP Model

inferred← citeshttps://doi.org/10.1007/s11269-026-04553-yopenalex-snapshot

Integrating Seasonal-Trend Decomposition and Multi-Head Self-Attention for Feature Fusion with Bidirectional Long Short-Term Memory in Reference Evapotranspiration Prediction

inferred← citeshttps://doi.org/10.1016/j.agwat.2024.109268openalex-snapshot

Estimating and forecasting daily reference crop evapotranspiration in China with temperature-driven deep learning models

inferred← citeshttps://doi.org/10.1016/j.compag.2024.109036openalex-snapshot

Principal Component Analysis (PCA) and feature importance-based dimension reduction for Reference Evapotranspiration (ET 0 ) predictions of Taif, Saudi Arabia

inferred← citeshttps://doi.org/10.1016/j.compag.2026.112451openalex-snapshot

Unraveling the Effects of Univariate and Multivariate Signal Decomposition Techniques on Daily Reference Evapotranspiration Forecasting

inferred← citeshttps://doi.org/10.1016/j.ejrh.2025.102663openalex-snapshot

Multi-step-ahead forecasting of daily reference evapotranspiration using hybrid deep learning models for the Taklamakan Desert oasis

inferred← citeshttps://doi.org/10.1016/j.ejrh.2026.103999openalex-snapshot

Short-, medium-, and long-term reference evapotranspiration forecasting based on intelligent temperature forecast correction and regional calibration of the Hargreaves model

inferred← citeshttps://doi.org/10.2166/wpt.2025.139openalex-snapshot

Spatiotemporal trend detection and modeling of reference evapotranspiration using machine learning techniques for the Marathwada region, Maharashtra, India

inferred← citeshttps://doi.org/10.3389/fenvs.2026.1895651openalex-snapshot

Comparative performance of random forest and support vector regression for reference evapotranspiration estimation: a critical review

inferred← citeshttps://doi.org/10.54392/irjmt2561openalex-snapshot

A Unified Model for Estimation of Reference Evapotranspiration Using an Assembly of Ensemble Learners Coupled with Swarm Intelligence Optimizers

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