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

PLoS One · 2026 · PMC13132235 · PMID 42060601

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highly significantP ≤ 0.001actually significant

However, highly significant differences (P ≤ 0.001) were observed between irrigation regimes and both stages for all plant traits.

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