Advanced panel training on visual Gestalt evaluation of biocrystallization images: ranking wheat samples from different extract decomposition stages and different production systems

IF 1.4 4区 农林科学 Q3 AGRONOMY Biological Agriculture & Horticulture Pub Date : 2018-07-06 DOI:10.1080/01448765.2018.1492457
J. Fritz, Miriam Athmann, J. Andersen, P. Doesburg, U. Geier, G. Mergardt
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引用次数: 7

Abstract

ABSTRACT Biocrystallization images are formed in reaction with foods; in the course of the evaporation of the water from food extracts in presence of copper chloride, crystalline structures are formed. The structures are known to reflect food quality, such as degree of decomposition. Individual expert evaluators have suggested that crystallization images of samples from organic production contain fewer signs of decomposition and that this feature can distinguish organic foods from their conventional counterparts. To further assess the scientific merits of this methodology, a panel of nine evaluators was trained in the visual assessment of biocrystallization images and asked to rank the visual Gestalt decomposition level of encoded images of wheat extracts from i) the same production system at five different decomposition stages and ii) organic production systems vs. conventional production systems aged for the same amount of time. The panel was trained by supervised classification on the basis of defined criteria and intra- and inter-personal variation was assessed. Statistical evaluation showed that the panel was highly reliable, and that the method was appropriate for ranking biocrystallization images of five different decomposition levels. Furthermore, images of samples from organic or conventional production systems could be distinguished with high agreement according to their Gestalt decomposition level with fewer signs of decomposition in the images of organic samples. The rank order between the organic systems vs. the conventional systems was significant.
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生物结晶图像视觉格式塔评估的高级面板训练:对不同提取物分解阶段和不同生产系统的小麦样品进行排序
摘要生物结晶图像是在与食物反应时形成的;在氯化铜存在下,食物提取物中的水蒸发的过程中,形成了晶体结构。众所周知,这些结构反映了食物的质量,如分解程度。个别专家评估人员认为,有机生产样品的结晶图像含有较少的分解迹象,这一特征可以将有机食品与传统食品区分开来。为了进一步评估这种方法的科学价值,一个由九名评估人员组成的小组接受了生物结晶图像视觉评估的培训,并被要求对来自i)五个不同分解阶段的相同生产系统和ii)老化相同时间的有机生产系统与传统生产系统的小麦提取物编码图像的视觉格式塔分解水平进行排序。该小组根据定义的标准通过监督分类进行培训,并评估个人内部和个人之间的差异。统计评估表明,该面板高度可靠,该方法适用于对五种不同分解水平的生物结晶图像进行排序。此外,来自有机或传统生产系统的样品的图像可以根据其格式塔分解水平以高度一致的方式进行区分,在有机样品的图像中分解的迹象较少。有机系统与传统系统之间的等级顺序是显著的。
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来源期刊
Biological Agriculture & Horticulture
Biological Agriculture & Horticulture 农林科学-农艺学
CiteScore
3.30
自引率
6.70%
发文量
18
审稿时长
>36 weeks
期刊介绍: Biological Agriculture & Horticulture aims to act as the central focus for a wide range of studies into alternative systems of husbandry, and particularly the biological or organic approach to food production. The Journal publishes work of a sound scientific or economic nature related to any aspect of biological husbandry in agriculture, horticulture and forestry in both temperate and tropical conditions, including energy and water utilization, and environmental impact.
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