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 …

Modelling monthly reference evapotranspiration estimation using machine learning approach in data-scarce North Western Himalaya region (Almora), Uttarakhand

U Kumar - Journal of Earth System Science, 2023 - Springer
Reference evapotranspiration (ET 0) is a crucial parameter in hydrology that is used to
estimate the amount of water lost through evaporation and transpiration from a standard …

Evaluation of machine learning versus empirical models for monthly reference evapotranspiration estimation in Uttar Pradesh and Uttarakhand States, India

P Rai, P Kumar, N Al-Ansari, A Malik - Sustainability, 2022 - mdpi.com
Reference evapotranspiration (ETo) plays an important role in agriculture applications such
as irrigation scheduling, crop simulation, water budgeting, and reservoir operations …

Data-driven reference evapotranspiration (ET0) estimation: a comparative study of regression and machine learning techniques

J Rajput, M Singh, K Lal, M Khanna, A Sarangi… - Environment …, 2024 - Springer
Precise computation of evapotranspiration is critical for an efficient irrigation planning and
managing agriculture water. This investigation aimed to study the performance of regression …

Modelling reference evapotranspiration using principal component analysis and machine learning methods under different climatic environments

A Raza, K Saber, Y Hu, R L. Ray… - Irrigation and …, 2023 - Wiley Online Library
Reference evapotranspiration (ETo) is a complex process in the hydrologic cycle that
influences several hydrologic parameters. Although several methods have been developed …

Development of monthly reference evapotranspiration machine learning models and mapping of Pakistan—a comparative study

J Wang, A Raza, Y Hu, NA Buttar, M Shoaib, K Saber… - Water, 2022 - mdpi.com
Accurate estimation of reference evapotranspiration (ETo) plays a vital role in irrigation and
water resource planning. The Penman–Monteith method recommended by the Food and …

Estimation of reference evapotranspiration via machine learning algorithms in humid and semiarid environments in Khyber Pakhtunkhwa, Pakistan

S Gul, J Ren, K Wang, X Guo - International Journal of Environmental …, 2023 - Springer
Efficient agricultural water management requires accurate determination of reference
evapotranspiration (ETo). Artificial intelligence has recently managed to solve several water …

Reference evapotranspiration prediction using machine learning models: An empirical study from minimal climate data

Shaloo, B Kumar, H Bisht, J Rajput… - Agronomy …, 2024 - Wiley Online Library
The scarcity of climatic data is the biggest challenge for developing countries, and the
development of models for reference evapotranspiration (ET0) estimation with limited …

Estimation of reference evapotranspiration based on machine learning models and timeseries analysis: a case study in an arid climate

ZM Hendy, MA Abdelhamid, Y Gyasi-Agyei… - Applied Water …, 2023 - Springer
Water scarcity is a major challenge for irrigated agriculture, particularly in developing
countries where access to meteorological data for calculating reference evapotranspiration …

Utilizing Machine Learning Models with Limited Meteorological Data as Alternatives for the FAO-56PM Model in Estimating Reference Evapotranspiration

S Amani, H Shafizadeh-Moghadam, S Morid - Water Resources …, 2024 - Springer
The current study evaluated the accuracy of four machine learning (ML) models and thirteen
experimental methods calibrated to estimate reference evapotranspiration (ET0) in arid and …