Machine learning techniques for reference evapotranspiration and rice irrigation requirements prediction: a case study of Kerian irrigation scheme, Malaysia

Machine learning techniques for reference evapotranspiration and rice irrigation requirements prediction: a case study of Kerian irrigation scheme, Malaysia

Reference evapotranspiration (ETo) is a crucial component in agro-meteorological processes, where accurate estimation is imperative for planning and managing irrigation practices. ETo and rice irrigation requirements were first estimated using FAO Penman–Monteith (FAO-PM56) and the water balance mod...

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Bibliographic Details
Main Authors: Mohd Nasir, Muhammad Adib, Harun, Sobri, Zainuddin, Zaitul Marlizawati, Kamal, Md Rowshon, Che Rose, Farid Zamani
Format: Article
Language:en
Published: Springer Science and Business Media Deutschland GmbH 2025
Subjects:
Agricultural Sciences
Computer Science
Environmental Science
Online Access:http://psasir.upm.edu.my/id/eprint/122675/1/122675.pdf
http://psasir.upm.edu.my/id/eprint/122675/
https://link.springer.com/article/10.1007/s10333-025-01040-9?error=cookies_not_supported&code=55c22652-0c73-41da-a88f-c6dc209c1abd
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Internet

http://psasir.upm.edu.my/id/eprint/122675/1/122675.pdf
http://psasir.upm.edu.my/id/eprint/122675/
https://link.springer.com/article/10.1007/s10333-025-01040-9?error=cookies_not_supported&code=55c22652-0c73-41da-a88f-c6dc209c1abd

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