食品雲結合農業雲高風險產品偵測風險分析－以菇類相關產品為例

Research on Detecting Risk Mode of Food Cloud Combined with Agriculture Cloud on High Risk Product-Case Study of Mushroom

謝怡婷(YI-TING HSIEH)；王兆儀(CHAO-YI WANG)

大數據 ； 食品雲 ； 農業雲 ； 菇 ； Big Data ； Food Cloud ； Agriculture Cloud ； Mushroom

食品藥物研究年報

14期（2023 / 12 / 01）

266 - 276

繁體中文;英文

有鑑於我國近年發生多起菇類相關產品不合格輿情新聞，為有效監控我國菇類產品不合格情形並偵測其風險，除運用本署產品品質檢驗資料外，亦結合跨部會會議交流之農業部產品檢驗資訊偵測高風險產品，另參考公開資料如產地、產量、交易季節及價格等資訊進行研析。本次分析結果發現邊境之乾燥「巴西蘑菇」、「柳松菇」及「牛肝菌菇」；後市場生鮮「牛肝菌菇」與乾燥之「巴西蘑菇」，以及農業部「秀珍菇」與抽驗不合格有顯著相關，再透過檢驗資訊、產地、價量關係等多面向分析後，就產品生鮮或乾燥型態、抽驗季節及檢驗項目等提供研析建議。食品安全攸關人民健康安全，產品溯源管理與檢驗資訊等與大數據應用息息相關，除運用衛生福利部食品藥物管理署（下稱食藥署）既有資料進行食品安全風險分析外，透過跨部會農業雲產品資訊交流更能掌握產品於臺灣市場中流通的樣貌以及產品品質監測之情形，期透過數據科學分析結果達成維護民眾食品安全之目標。

There have been many reports of unqualified mushroom-related products in Taiwan recently. In order to monitor the situation of unqualified mushroom products effectively, in addition to the usage of product quality inspection data, the inter-ministerial meetings that exchange the product inspection information of the Council of Agriculture, and public information such as origin, output, trading season and price information are used to detect high-risk products. The results of this report found that dried "Brazilian mushrooms", "Willow pine mushrooms" and "Boletus mushrooms" from the border; fresh "Boletus mushrooms" and dried "Brazilian mushrooms" from the aftermarket, and ‘Oyster mushrooms" from Ministry of Agriculture are significantly related to the unqualified sampling inspection. After multi-faceted analysis of inspection information, origin, price-volume relationship, etc., research and analysis suggestions are provided for fresh or dried products, sampling inspection seasons, and inspection items. Food safety is closely related to people’s health and safety. Product traceability management and inspection information are closely related to the application of big data. In addition to using the existing data from the Food and Drug Administration to conduct food safety risk analysis, through agriculture cloud, the appearance and quality of products circulating in the Taiwan market can be monitored. It is expected that the goal of maintaining public food safety will be achieved through the results of data science analysis.