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首页> 外文期刊>European Journal of Lipid Science and Technology >Imaging technique for quantification of oil palm fruit ripeness and oil content
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Imaging technique for quantification of oil palm fruit ripeness and oil content

机译:定量分析油棕果实成熟度和含油量的成像技术

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We investigated a non-destructive technique for measuring the colour of oil palm fruit (Elaeis guineensis) bunches at different stages of maturity and correlating the colour data with the oil content in the fruit bunch. A digital red, green and blue (RGB) camera was used to capture the image of palm fruits and hue histograms were then constructed from mathematically transformed RGB data. The dominant hue peaks were then correlated to the oil content of fresh fruit bunches (FFBs). The study showed that the results obtained were influenced by FFB that possessed different expressions of colour changes during the ripening process. The results obtained from colour image analyses were not satisfactory - the correlation between hue peak and FFB oil content was r = 0.7933. However, when FFB having the same ripening patterns were analysed, the correlation was very much improved with r = 0.9519. Thus, statistical evaluation showed that the digital imaging technique for determining FFB oil content can be successfully used on a homogeneous population of palms that display similar change of colour during the ripening process. Practical applications: The ability to correctly identify physiological maturity and harvest maturity of palm fruits by phenological characteristics will ensure timely harvest to avoid cutting of either under- and over-ripe fruits. The Malaysian Palm Oil Board [MPOB] has published an oil palm fruit grading manual outlining 16 classifications for grading FFB ripeness and quality. However, the FFB grading methods are still very subjective, i.e. depend on the judgement, experience and skill of a person. In addition, the methods do not provide quantitative information about the oil in the FFB. The method reported in this paper allows for rapid screening of FFB ripeness, and relate it to oil content in the FFB and accordingly the amount of oil that can be extracted from a consignment of FFB. Since it only takes a few seconds to capture signals, the system could be incorporated for on-line monitoring of FFB ripeness and oil content thereof.
机译:我们研究了一种非破坏性技术,用于测量成熟期不同阶段的油棕果(Elaeis guineensis)束的颜色,并将颜色数据与该果束中的油含量相关联。使用数字红,绿,蓝(RGB)相机捕获棕榈果的图像,然后从数学上转换后的RGB数据构建色相直方图。然后,主要的色相峰与新鲜水果束(FFB)的含油量相关。研究表明,获得的结果受FFB的影响,FFB在成熟过程中具有不同的颜色变化表示。从彩色图像分析获得的结果并不令人满意-色相峰和FFB油含量之间的相关性为r = 0.7933。但是,当分析具有相同成熟模式的FFB时,相关性大大提高,r = 0.9519。因此,统计评估表明,用于确定FFB油含量的数字成像技术可以成功地用于成熟过程中显示相似颜色变化的同质棕榈种群。实际应用:通过物候特性正确识别棕榈果实的生理成熟度和收获成熟度的能力将确保及时收获,从而避免割破未成熟和过成熟的水果。马来西亚棕榈油委员会[MPOB]已发布油棕榈果分级手册,概述了FFB成熟度和品质的16个分类。但是,FFB分级方法仍然非常主观,即取决于一个人的判断,经验和技能。此外,这些方法未提供有关FFB中油的定量信息。本文报道的方法可以快速筛选FFB的成熟度,并将其与FFB中的油含量以及因此可以从FFB货物中提取的油量相关联。由于捕获信号仅需几秒钟,因此可以将系统集成到FFB成熟度及其含油量的在线监视中。

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