Empirical and learning machine approaches to estimating reference evapotranspiration based on temperature data

MM Reis, AJ da Silva, JZ Junior, LDT Santos… - … and electronics in …, 2019 - Elsevier
The precise estimation of reference evapotranspiration (ET 0) is crucial for the planning and
management of water resources and agricultural production. In this study, the applicability of …

[HTML][HTML] Development and comparison of artificial intelligence models for estimating daily reference evapotranspiration from limited input variables

JJ Makwana, MK Tiwari, BS Deora - Smart Agricultural Technology, 2023 - Elsevier
The accurate and efficient computational modelling framework for computation of reference
evapotranspiration (ET 0) is the need of time and is highly essential for several agricultural …

Estimation of reference evapotranspiration using spatial and temporal machine learning approaches

A Rashid Niaghi, O Hassanijalilian, J Shiri - Hydrology, 2021 - mdpi.com
Evapotranspiration (ET) is widely employed to measure amounts of total water loss between
land and atmosphere due to its major contribution to water balance on both regional and …

Performance evaluation of numerical and machine learning methods in estimating reference evapotranspiration in a Brazilian agricultural frontier

DB dos Santos Farias, D Althoff, LN Rodrigues… - Theoretical and Applied …, 2020 - Springer
The reference evapotranspiration (ET 0) estimates is important for water resources and
irrigation management. The Penman-Monteith equation is known for its accuracy but …

[HTML][HTML] A regional machine learning method to outperform temperature-based reference evapotranspiration estimations in Southern Spain

JA Bellido-Jiménez, J Estévez… - Agricultural Water …, 2022 - Elsevier
Accurate estimations of reference evapotranspiration (ET 0) are crucial for determining crop
water requirements and designing an adequate irrigation scheduling to optimize the use of …

Temperature-based modeling of reference evapotranspiration using several artificial intelligence models: application of different modeling scenarios

H Sanikhani, O Kisi, E Maroufpoor… - Theoretical and applied …, 2019 - Springer
The establishment of an accurate computational model for predicting reference
evapotranspiration (ET 0) process is highly essential for several agricultural and …

GANN models for reference evapotranspiration estimation developed with weather data from different climatic regions

Z Wang, P Wu, X Zhao, X Cao, Y Gao - Theoretical and applied …, 2014 - Springer
Accurate estimation of reference evapotranspiration (ET 0) becomes imperative for better
managing the more and more limited agricultural water resources. This study examined the …

Exploring machine learning and multi-task learning to estimate meteorological data and reference evapotranspiration across Brazil

LB Ferreira, FF da Cunha, EI Fernandes Filho - Agricultural Water …, 2022 - Elsevier
Reference evapotranspiration (ETo) can be estimated using the FAO56-Penman-Monteith
(FAO56-PM) equation but it requires commonly unavailable meteorological data. Therefore …

Estimation of actual evapotranspiration: A novel hybrid method based on remote sensing and artificial intelligence

F Hadadi, R Moazenzadeh, B Mohammadi - Journal of Hydrology, 2022 - Elsevier
Actual evapotranspiration (AET) is one of the decisive factors controlling the water balance
at the catchment level, particularly in arid and semi-arid regions, but measured data for …

Performance evaluation of five machine learning algorithms for estimating reference evapotranspiration in an arid climate

A Raza, R Fahmeed, NR Syed, OM Katipoğlu, M Zubair… - Water, 2023 - mdpi.com
The Food and Agriculture Organization recommends that the Penman–Monteith Method
contains Equation 56 (PMF) as a widely accepted standard for reference evapotranspiration …