This work assesses the availability of depending hyperspectral indices to predict the chemical content of orange fruit under different growth stages. Using hyperspectral indices measurements to quantify varying chemical components of orange fruit including (chlorophyll, Ascorbic acid, Carotenoids, pH, Soluble Solids (%), juice percentage (%), titratable acidity results were expressed and maturity index. R₆₇₂/R₅₅₀ gave the maximum correlation value for predicting the concentration of chlorophyll (a) with R² = 0.92. For predicting chlorophyll (b) that (NDI) indices show strong significant relationships with R²=0.84. PSR gave the highest correlations for predicting the concentration of total chlorophyll of orange fruit at different growing stages with R² = 0.88 while for predicting the carotenoid concentration of orange fruit, it should depend on R₆₇₂/R₅₅₀ which produced the highest correlation R² = 0.85. R₆₇₂/R₅₅₀ was the best indices for predicting the ascorbic acid content of orange fruit at different growing stages with R² = 0.947. for predicting Soluble solids (SS) there is a high correlation with R₆₇₂/R₅₅₀ and PSI, respectively which give the same R² =0.939. R₆₇₂/R₅₅₀ showed high correlations for predicting the pH value of orange fruit with R² = 0.94 Predicting Juice content and maturity index of orange fruit should depend on R₆₇₂/R₅₅₀ which produced the highest correlations R² = 0.91 and 0.96 respectively. PSR produced the highest correlations for predicting the titratable acidity of orange fruit were R² = 0.92.