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ARTIFICIAL INTELLIGENCE BASED FOOD PUTREFACTION MODEL DEVELOPING SYSTEM AND FOOD PUTREFACTION ALARM SYSTEM USING FOOD PUTREFACTION MODEL
ARTIFICIAL INTELLIGENCE BASED FOOD PUTREFACTION MODEL DEVELOPING SYSTEM AND FOOD PUTREFACTION ALARM SYSTEM USING FOOD PUTREFACTION MODEL
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机译:基于人工智能的食品提取模型开发系统及使用食品提取模型的食品提取警报系统
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摘要
The present invention relates to an artificial intelligence-based food corruption prediction model development system, and more particularly, to a food analysis module for analyzing food data. A bacteria analysis module for analyzing a plurality of food poisoning bacteria data; And the analysis results of the food analysis module and the microorganism analysis module, the dominant species of food poisoning antibiotics for each food was selected, and the food poisoning bacteria of the selected dominant species were applied to each food, And a model development module for developing a food corruption prediction model. The present invention relates to a food corruption prediction notification system using an artificial intelligence-based food corruption prediction model, and more particularly, to an input module receiving an input of a food name. A modeling module for deriving a food spoilage prediction index indicating a degree of spoilage over time using a food spoilage prediction model to which a predominant food species of the dominant species selected for the food corresponding to the input food name is applied; And an output module for outputting the derived food corruption prediction index. According to the artificial intelligence-based food corruption prediction model development system proposed by the present invention and the food corruption prediction notification system using the artificial intelligence-based food corruption prediction model, the food data and food poisoning bacteria data are analyzed, . In addition, by introducing the time-consuming food corruption prediction index, it is possible to obtain food corruption predictive models that show the degree of corruption according to time, It is possible to predict the time and have a substantial haptic effect.
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