[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 …

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 …

A novel hybrid AIG-SVR model for estimating daily reference evapotranspiration

E Mirzania, DK Vishwakarma, QAT Bui… - Arabian Journal of …, 2023 - Springer
Reference evapotranspiration (ETo) simulation is of great importance for various procedures
of the hydrological cycle, irrigation, agronomic management, and planning and …

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 …

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 …

Assessment of data intelligence algorithms in modeling daily reference evapotranspiration under input data limitation scenarios in semi-arid climatic condition

J Rajput, M Singh, K Lal, M Khanna… - Water Science & …, 2023 - iwaponline.com
Crop evapotranspiration is essential for planning and designing an efficient irrigation
system. The present investigation assessed the capability of four machine learning …

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 …

Modelling the reference crop evapotranspiration in the Beas-Sutlej basin (India): an artificial neural network approach based on different combinations of …

A Elbeltagi, N Kumar, A Chandel, A Arshad… - Environmental …, 2022 - Springer
Accurate prediction of the reference evapotranspiration (ET0) is vital for estimating the crop
water requirements precisely. In this study, we developed multi-layer perceptron artificial …

[PDF][PDF] Modelling daily evapotranspiration using artificial neural networks under hyper arid conditions

MA Yassin, AA Alazba, MA Mattar - Pak. J. Agri. Sci, 2016 - academia.edu
Precisely determined evapotranspiration (ET) is necessary for maximization of water
beneficiary use and hydrologic applications, particularly in arid and semiarid regions where …

[PDF][PDF] Comparative study of powerful predictive modeling techniques for modeling monthly reference evapotranspiration in various climatic regions

A Raza, M Shoaib, MAI Baig, S Ahmad… - Fresenius Environ …, 2021 - researchgate.net
Estimation of reference evapotranspiration (ETo) is vibrantly required for estimating crop
water requirement and budgeting irrigation scheduling. The beneficial use of water is of …