Summary

Food safety management aims to heighten and maintain product quality by monitoring storage conditions of food items and by increasing traceability.

genislab ai usecases

Usecase:Food Safety Management

Overview

Food safety management aims to heighten and maintain product quality by monitoring storage conditions of food items and by increasing Traceability. As food storage is generally time and temperature sensitive, maintaining and checking storage conditions is essential to food safety. This includes temperature monitoring, condition checking and Tracking the movement of ingredients and products across the supply chain. Combining sensor data points with predictive analytics can help to predict the growth of pathogens before an outbreak occurs. Companies can also connect harvesting, processing and transportation equipment to the Internet through Smart Sensors. These sensors can detect biochemical and chemical reactions during the harvesting, manufacturing, and transportation stages, allowing identification and removal of molds and bacteria before they move down the supply chain. In addition to ensuring food safety, such measures can also improve the dining experience by enabling farm to table service.

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