ISSN 2284-7995, ISSN Online 2285-3952
 

NON-DESTRUCTIVE BANANA RIPENESS DETECTION USING OPTICAL SPECTRAL BANDS AND WASTE AND ECONOMIC LOSS FROM WASTE AND BANANA COLOR CHARACTERISTICS

Published in Scientific Papers. Series "Management, Economic Engineering in Agriculture and rural development", Vol. 25 ISSUE 3
Written by Tarek FOUDA, Adel Hamed EL-BAHNASAWY, Nourhan KASSAB

Vegetation indices using Red Green Blue- RGB bands are useful tools for assessing plant health and vigor. They can provide insights into the photosynthetic activity, chlorophyll content, and overall condition of vegetation. When applied to banana plants, these indices can help monitor the ripening stages by analyzing changes in color and other physiological parameters. The objective of this research was to study of the correlation between the banana's color changed during ripening stages and RGB color indices. Dessert bananas (Musa sap.) from nearby, specially designed banana ripening rooms in the city of Santa, Gharbia Governorate, were chosen for experimental work in this study in January 2024. A lot of data analysis was conducted on the RGB bands vegetation indices and the browning index of bananas during the ripening stages. The simple red-green ratio, green-red, hue, VEG, red and blue bands, green-red, and all vegetation index were evaluated to track the ripening stages by color analysis.The results recorded that there was a rise in the blue band band's color from 59 to 123 during the three stages of maturity, following the same pattern as the red and blue band's color. also, Brown index changed from 15.05 to 62.89 as a result of bananas reaching the brown stage. In contrast, the hue dropped from 121.89 to 41.45. The values of RGB bands vegetation indices are highest in the vegetative stage due to the high chlorophyll content in the banana fruit, so the value of NDVI Index is 0.43, VARI Index is 0.62, MGRVI Index is 0.72 and NGBDI Index is 0.41. The maximum values RGBVI1,2,3 Index were at the green stage (unripe banana) at 0.7, 1.48 and 3.68 respectively. In contrast, the maximum values BGI2 and RGRI Index were at the Brown Stage (Overripe Bananas) at 0.66 and 0.94 respectively. Banana waste results in significant economic losses throughout the supply chain, from farmers to consumers. By improving storage, transportation, retail strategies, and consumer habits, businesses and individuals can reduce waste and maximize banana value.

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FOUDA T., EL-BAHNASAWY A.H., KASSAB N. 2025, NON-DESTRUCTIVE BANANA RIPENESS DETECTION USING OPTICAL SPECTRAL BANDS AND WASTE AND ECONOMIC LOSS FROM WASTE AND BANANA COLOR CHARACTERISTICS . Scientific Papers. Series "Management, Economic Engineering in Agriculture and rural development", Vol. 25 ISSUE 3, PRINT ISSN 2284-7995, 423-432.

The publisher is not responsible for the opinions published in the Volume. They represent the authors’ point of view.

© 2019 To be cited: Scientific Papers. Series “Management, Economic Engineering in Agriculture and Rural Development“.

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