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Soil & Crop Sciences

Enhancing irrigation water management based on ETo prediction using machine learning to mitigate climate change

Mohamed A. Youssefa Department of Agricultural Engineering, Faculty of Agriculture, Ain Shams University, Cairo, EgyptView further author information
,
R. Troy Petersb Department of Biological Systems Engineering, Washington State University, Pullman, Washington, USAView further author information
,
Mohammed El-Shirbenyc National Authority for Remote Sensing and Space Sciences (NARSS), Cairo, Egypt;d Arab Organization for Agricultural Development (AOAD), Cairo, EgyptView further author information
,
Ahmed M. Abd-ElGawade Plant Production Department, College of Food & Agriculture Sciences, King Saud University, Riyadh, Saudi ArabiaView further author information
,
Younes M. Rashadf Plant Protection and Biomolecular Diagnosis Department, Arid Lands Cultivation Research Institute (ALCRI), City of Scientific Research and Technological Applications (SRTA-City), New BorgEl-Arab, EgyptCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-7702-8023View further author information
ORCID Icon,
Mohamed Hafezg Land and Water Technologies Department, Arid Lands Cultivation Research Institute (ALCRI), City of Scientific Research and Technological Applications (SRTA-City), New BorgEl-Arab, EgyptView further author information
&
Yasser Arafaa Department of Agricultural Engineering, Faculty of Agriculture, Ain Shams University, Cairo, EgyptView further author information
 show all
Article: 2348697 | Received 08 Dec 2023, Accepted 24 Apr 2024, Published online: 09 May 2024

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