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 M Ibrahim,
Salah Elsayed
et al.
Abstract:Water stress is a global challenge that severely impacts crop production by hindering essential processes such as nutrient uptake, photosynthesis, and respiration. To address this issue, proximal sensing has emerged as a promising technique for detecting stress in plants. By utilizing remote sensing and non-destructive methods, early and spatial identification of stress in vegetable crops becomes possible, enabling timely management interventions and optimizing yield in precision farming. This study aimed to u… Show more
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