Evaluation of stacking and blending ensemble learning methods for estimating daily reference evapotranspiration
T Wu, W Zhang, X Jiao, W Guo, YA Hamoud - Computers and Electronics in …, 2021 - Elsevier
Precise reference evapotranspiration (ETo) estimation and prediction are the first steps to
realize efficient agricultural water resources management. As machine learning methods are …
realize efficient agricultural water resources management. As machine learning methods are …
Evaluation of data-driven hybrid machine learning algorithms for modelling daily reference evapotranspiration
Reference evapotranspiration (ET0) is one of the crucial variables used for irrigation
scheduling, agricultural production, and water balance studies. This study compares six …
scheduling, agricultural production, and water balance studies. This study compares six …
[HTML][HTML] A review of machine learning models and influential factors for estimating evapotranspiration using remote sensing and ground-based data
S Amani, H Shafizadeh-Moghadam - Agricultural Water Management, 2023 - Elsevier
In the era of water scarcity and severe droughts, the accurate estimation of
evapotranspiration (ET) is crucial for the efficient management of water resources …
evapotranspiration (ET) is crucial for the efficient management of water resources …
Multi-station artificial intelligence based ensemble modeling of reference evapotranspiration using pan evaporation measurements
In this study, different Artificial Intelligence (AI) techniques including Feed Forward Neural
Network (FFNN), Adaptive Neuro Fuzzy Inference System (ANFIS), Support Vector …
Network (FFNN), Adaptive Neuro Fuzzy Inference System (ANFIS), Support Vector …
Comparison of five Boosting-based models for estimating daily reference evapotranspiration with limited meteorological variables
T Wu, W Zhang, X Jiao, W Guo, YA Hamoud - Plos One, 2020 - journals.plos.org
Accurate ET0 estimation is of great significance in effective agricultural water management
and realizing future intelligent irrigation. This study compares the performance of five …
and realizing future intelligent irrigation. This study compares the performance of five …
Evaluation of SVM, ELM and four tree-based ensemble models for predicting daily reference evapotranspiration using limited meteorological data in different climates …
Accurate estimation of reference evapotranspiration (ET 0) is of great importance for the
regional water resources planning and irrigation scheduling design. The FAO-56 Penman …
regional water resources planning and irrigation scheduling design. The FAO-56 Penman …
On the use of machine learning based ensemble approaches to improve evapotranspiration estimates from croplands across a wide environmental gradient
Y Bai, S Zhang, N Bhattarai, K Mallick, Q Liu… - Agricultural and Forest …, 2021 - Elsevier
Accurately mapping of regional-scale evapotranspiration (ET) from the croplands using
remote sensing is currently challenged by limited spatial information on crop and field …
remote sensing is currently challenged by limited spatial information on crop and field …
Artificial intelligence models versus empirical equations for modeling monthly reference evapotranspiration
Accurate estimation of reference evapotranspiration (ET o) is profoundly crucial in crop
modeling, sustainable management, hydrological water simulation, and irrigation …
modeling, sustainable management, hydrological water simulation, and irrigation …
Multi-step ahead forecasting of daily reference evapotranspiration using deep learning
LB Ferreira, FF da Cunha - Computers and electronics in agriculture, 2020 - Elsevier
Daily reference evapotranspiration (ETo) forecasts can help farmers in irrigation planning.
Therefore, this study assesses the potential of deep learning (long short-term memory …
Therefore, this study assesses the potential of deep learning (long short-term memory …
Evapotranspiration modeling using different tree based ensembled machine learning algorithm
The present study investigates and evaluate the scope and potential of modern computing
tools and techniques such as ensembled machine learning methods in estimating ETo. Five …
tools and techniques such as ensembled machine learning methods in estimating ETo. Five …