Crop evapotranspiration estimation with FAO56: Past and future
Abstract The FAO Irrigation and Drainage Paper No 56 on Crop Evapotranspiration has
been in publication for more than 15 years. The paper advanced the accuracy and …
been in publication for more than 15 years. The paper advanced the accuracy and …
Evaluation of CatBoost method for prediction of reference evapotranspiration in humid regions
Accurate estimation of reference evapotranspiration (ET 0) is critical for water resource
management and irrigation scheduling. This study evaluated the potential of a new machine …
management and irrigation scheduling. This study evaluated the potential of a new machine …
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 …
Modeling reference evapotranspiration using extreme learning machine and generalized regression neural network only with temperature data
Accurate estimation of reference evapotranspiration (ET 0) is essential to agricultural water
management. The present study developed two artificial intelligence models for daily ET 0 …
management. The present study developed two artificial intelligence models for daily ET 0 …
Potential of RT, Bagging and RS ensemble learning algorithms for reference evapotranspiration prediction using climatic data-limited humid region in Bangladesh
R Salam, ARMT Islam - Journal of Hydrology, 2020 - Elsevier
Ensemble learning (EL), an alternative approach in the machine-learning field, offers an
accurate reference evapotranspiration (ETo) prediction, which is of paramount significance …
accurate reference evapotranspiration (ETo) prediction, which is of paramount significance …
Temperature-based modeling of reference evapotranspiration using several artificial intelligence models: application of different modeling scenarios
The establishment of an accurate computational model for predicting reference
evapotranspiration (ET 0) process is highly essential for several agricultural and …
evapotranspiration (ET 0) process is highly essential for several agricultural and …
Evaluation of the Penman-Monteith (FAO 56 PM) method for calculating reference evapotranspiration using limited data
Reference evapotranspiration (ETo) is often calculated using the Penman-Monteith (FAO 56
PM;) method, which requires data on temperature, relative humidity, wind speed, and solar …
PM;) method, which requires data on temperature, relative humidity, wind speed, and solar …
Soft computing approaches for forecasting reference evapotranspiration
M Gocić, S Motamedi, S Shamshirband… - … and Electronics in …, 2015 - Elsevier
Accurate estimation of reference evapotranspiration (ET 0) is needed for planning and
managing water resources and agricultural production. The FAO-56 Penman–Monteith …
managing water resources and agricultural production. The FAO-56 Penman–Monteith …
General and regional cross-station assessment of machine learning models for estimating reference evapotranspiration
Y Zouzou, H Citakoglu - Acta Geophysica, 2023 - Springer
Significant research has been done on estimating reference evapotranspiration (ET 0) from
limited climatic measurements using machine learning (ML) to facilitate the acquirement of …
limited climatic measurements using machine learning (ML) to facilitate the acquirement of …
Support-vector-machine-based models for modeling daily reference evapotranspiration with limited climatic data in extreme arid regions
X Wen, J Si, Z He, J Wu, H Shao, H Yu - Water resources management, 2015 - Springer
Evapotranspiration is a major factor that controls hydrological process and its accurate
estimation provides valuable information for water resources planning and management …
estimation provides valuable information for water resources planning and management …