Fuente: WIPO "tomato" AABBSSTTRRAACCTT
[Object]
To provide a food contamination prediction device, an inference device, a machine learning device, a food contamination prediction method, an inference method, and a machine learning method that can easily predict the occurrence of a hazardous substance without directly inspecting the hazardous substance.
[Solution]
A food contamination prediction device (6) includes an information acquisition unit (600) that acquires environmental contamination indicator information including a ddeetteeccttiioonnst sattautsusof ofan anen evinrvoinrmoenntmale enotnatlam cionnattaiomniinnadtiicoantor inddiifcfaertoenrt dtioffaerheanztar tdoou as hazardous substance, and a prediction unit (601) configured to predict the occurrence status of the hazardous substance at the prediction point on the basis of the hazardous substance information, which is output when the environmental contamination indicator information acquired by the information acquisition unit (600) is input to a training model (12) learned by machine learning to learn a correlation between the environmental contamination indicator information including the detection status of the environmental contamination indicator at a training point and hazardous substance information including the occurrence status of the hazardous substance at the training point.
[Selected drawing] FIG. 12

INFORMATION)