J. Fritz, Miriam Athmann, J. Andersen, P. Doesburg, U. Geier, G. Mergardt
{"title":"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","authors":"J. Fritz, Miriam Athmann, J. Andersen, P. Doesburg, U. Geier, G. Mergardt","doi":"10.1080/01448765.2018.1492457","DOIUrl":null,"url":null,"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.","PeriodicalId":8904,"journal":{"name":"Biological Agriculture & Horticulture","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2018-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/01448765.2018.1492457","citationCount":"7","resultStr":"{\"title\":\"Advanced panel training on visual Gestalt evaluation of biocrystallization images: ranking wheat samples from different extract decomposition stages and different production systems\",\"authors\":\"J. Fritz, Miriam Athmann, J. Andersen, P. Doesburg, U. Geier, G. Mergardt\",\"doi\":\"10.1080/01448765.2018.1492457\",\"DOIUrl\":null,\"url\":null,\"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. 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Advanced panel training on visual Gestalt evaluation of biocrystallization images: ranking wheat samples from different extract decomposition stages and different production systems
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.
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.