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

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Title: Predicting water status, growth and yield of tomato under different irrigation regimes using the RGB image indices and artificial neural network model.
Authors: Abd El-baki, Mohamed S.1 (AUTHOR), Ibrahim, Mohamed Maher1 (AUTHOR), Elsayed, Salah2 (AUTHOR) salah.emam@esri.usc.edu.eg, Elbeltagi, Ahmed1 (AUTHOR) ahmedelbeltagy81@mans.edu.eg, Salem, Ali3,4 (AUTHOR) salem.ali@mik.pte.hu, Abd El-Fattah, Nadia G.1 (AUTHOR)
Source: PLoS ONE. 4/30/2026, Vol. 21 Issue 4, p1-26. 26p.
Database: Academic Search Ultimate
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  Data: Predicting water status, growth and yield of tomato under different irrigation regimes using the RGB image indices and artificial neural network model.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=193468720
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