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Computer image analysis in evaluating the quality of dried meat, case study: poultry meat

机译:处理干肉质量的计算机图像分析,案例研究:家禽肉

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Modern technologies with artificial intelligence are widely used in processing industry and serve, among other things, as boost to increase efficiency and automatization of production processes, which in turn allows to increase productivity of companies while at the same increasing their competitiveness. At present a real challenge for this branch of economy is manufacturing farm and food products, characterized by best parameters in terms of quality while maintaining optical production and distribution costs of biological material which is subject to processing. The given paper touches upon the subject related to evaluation of changes of quality of dried meat made from turkey meat in the process of microwave and vacuum drying as well as its influence on the quality of meat, microstructure and sensory features.
机译:具有人工智能的现代技术广泛用于加工行业,除其他外,促进生产过程的效率和自动化,这反过来又可以提高公司的生产力,同时同时提高其竞争力。目前对该经济分支的真正挑战是制造农场和食品,其特征在于质量方面的最佳参数,同时维持受处理的生物材料的光学生产和分配成本。给定的纸张涉及与在微波和真空干燥过程中对土耳其肉类质量变化的评估有关的主题,以及对肉类,微观结构和感官特征的影响。

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