Non-Destructive Technique based on Specific Gravity for Post-harvest Mangifera Indica L. Cultivar Maturity

N. S. Khalid, A. Abdullah, S. Shukor, F. A.S, H. Mansor, N.D.N. Dalila
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引用次数: 8

Abstract

Non-destructive methods for fruit quality monitoring are greatly relevant for process control in the food quality industry. One of the properties of Mangifera Indica L. (Mango) that could be used as a basis for non-destructive quality evaluation is specific gravity. With this respect, specific gravity was evaluated to predict the internal quality of the Mango. Specific gravity is the ratio of the fruits to the density of the water. Traditionally, in adapting the specific gravity approach, farmers and agriculturist will estimate the maturity of the Mango by using floating techniques based on differences in density. However, this is inconvenient and time consuming. Based on the specific gravity value, the maturity of the Mango can be estimate. Hence, image processing techniques were proposed to estimate the specific gravity of Mango. The predicted specific gravity of 50 mangoes were used and compared with the actual result with high correlation of R=75.69%.The result showed the image processing techniques can be applied for non-destructive Mango quality evaluation based on specific gravity.
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基于比重的芒果收获后品种成熟度无损检测技术
水果质量的无损监测方法与食品质量行业的过程控制有着重要的关系。芒果(Mangifera Indica L.)的比重可以作为无损质量评价的依据之一。在这方面,比重的评估,以预测芒果的内部质量。比重是水果与水的密度之比。传统上,在采用比重方法时,农民和农业学家将根据密度的差异使用浮动技术来估计芒果的成熟度。然而,这是不方便和耗时的。根据比重值,可以估计芒果的成熟度。因此,提出了图像处理技术来估计芒果的比重。利用50个芒果的预测比重与实际结果进行了比较,相关系数R=75.69%。结果表明,该图像处理技术可用于基于比重的芒果无损质量评价。
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