TESTING OF AGRICULTURAL PRODUCTS VOLATILES TO PREDICT QUALITY USING MACHINE LEARNING

    公开(公告)号:US20210333185A1

    公开(公告)日:2021-10-28

    申请号:US17241576

    申请日:2021-04-27

    Abstract: This disclosure is directed to systems and methods for assessing quality characteristics of food items based on analyzing volatiles outgassed by them. The quality characteristics can include presence of infection, ripeness stage, flavor, taste, and smell. Determining quality characteristics can be advantageous to make supply chain modifications that optimize on quality and reduce food-based waste. A tube having a sorbent material can be placed in an environment containing the food items. Volatiles outgassed by the food items can collect on the sorbent material. A computing system can receive the volatiles presence and concentration data and can apply a machine learning model to the data to determine quality characteristics of the food items. The model can be trained using human observations of quality characteristics, historic supply chain information, and processed volatiles data associated with other food items, wherein the other food items are a same type as the food items.

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