Predicting water status, growth and yield of tomato under different irrigation regimes using the RGB image indices and artificial neural network model

Mohamed S. Abd El-baki; Mohamed Maher Ibrahim; Salah Elsayed; Ahmed Elbeltagi; Ali Salem; Nadia G. Abd El-Fattah

doi:10.1371/journal.pone.0346503

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Open Access

Peer-reviewed

Research Article

Predicting water status, growth and yield of tomato under different irrigation regimes using the RGB image indices and artificial neural network model

Mohamed S. Abd El-baki,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Visualization, Writing – original draft, Writing – review & editing

Affiliation Agricultural Engineering Department, Faculty of Agriculture, Mansoura University, Mansoura, Egypt
⨯
Mohamed Maher Ibrahim,

Roles Conceptualization, Data curation, Formal analysis, Software, Writing – review & editing

Affiliation Agricultural Engineering Department, Faculty of Agriculture, Mansoura University, Mansoura, Egypt
⨯
Salah Elsayed ,

Roles Formal analysis, Investigation, Methodology, Writing – review & editing

* E-mail: salem.ali@mik.pte.hu (AS); salah.emam@esri.usc.edu.eg (SE); ahmedelbeltagy81@mans.edu.eg (AE)

Affiliation Agricultural Engineering, Evaluation of Natural Resources Department, Environmental Studies and Research Institute, University of Sadat City, Minufiya, Egypt
⨯
Ahmed Elbeltagi ,

Roles Data curation, Investigation, Resources, Validation, Writing – review & editing

* E-mail: salem.ali@mik.pte.hu (AS); salah.emam@esri.usc.edu.eg (SE); ahmedelbeltagy81@mans.edu.eg (AE)

Affiliation Agricultural Engineering Department, Faculty of Agriculture, Mansoura University, Mansoura, Egypt
⨯
Ali Salem ,

Roles Conceptualization, Data curation, Funding acquisition, Investigation, Writing – review & editing

* E-mail: salem.ali@mik.pte.hu (AS); salah.emam@esri.usc.edu.eg (SE); ahmedelbeltagy81@mans.edu.eg (AE)

Affiliations Civil Engineering Department, Faculty of Engineering, Minia University, Minia, Egypt, Structural Diagnostics and Analysis Research Group, Faculty of Engineering and Information Technology, University of Pecs, Pecs, Hungary

https://orcid.org/0000-0001-6176-8345

⨯
Nadia G. Abd El-Fattah

Roles Conceptualization, Formal analysis, Methodology, Resources, Writing – review & editing

Affiliation Agricultural Engineering Department, Faculty of Agriculture, Mansoura University, Mansoura, Egypt
⨯

Predicting water status, growth and yield of tomato under different irrigation regimes using the RGB image indices and artificial neural network model

Mohamed S. Abd El-baki,
Mohamed Maher Ibrahim,
Salah Elsayed,
Ahmed Elbeltagi,
Ali Salem,
Nadia G. Abd El-Fattah

Published: April 30, 2026
https://doi.org/10.1371/journal.pone.0346503

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