Salah, S., Elmetwalli, A., Ghoname, M. (2022). Hyperspectral Reflectance as a Tool to Measure Ripeness of Orange Fruits. Journal of Soil Sciences and Agricultural Engineering, 13(7), 241-251. doi: 10.21608/jssae.2022.147858.1089
Shimaa Salah; A. H. Elmetwalli; M. S. Ghoname. "Hyperspectral Reflectance as a Tool to Measure Ripeness of Orange Fruits". Journal of Soil Sciences and Agricultural Engineering, 13, 7, 2022, 241-251. doi: 10.21608/jssae.2022.147858.1089
Salah, S., Elmetwalli, A., Ghoname, M. (2022). 'Hyperspectral Reflectance as a Tool to Measure Ripeness of Orange Fruits', Journal of Soil Sciences and Agricultural Engineering, 13(7), pp. 241-251. doi: 10.21608/jssae.2022.147858.1089
Salah, S., Elmetwalli, A., Ghoname, M. Hyperspectral Reflectance as a Tool to Measure Ripeness of Orange Fruits. Journal of Soil Sciences and Agricultural Engineering, 2022; 13(7): 241-251. doi: 10.21608/jssae.2022.147858.1089
Hyperspectral Reflectance as a Tool to Measure Ripeness of Orange Fruits
1Agricultural Engineering Department, Faculty of Agriculture, Tanta University, Egypt.
2Agricultural Engineering Department ,Faculty of Agriculture ,Tanta University,Egypt
Abstract
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.
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