IoT and Big Data: A Revolution in Food Safety

Aug 7, 2017

The interconnectedness of various devices and sensors is opening up a huge potential in the food safety market. These networks of sensors can collect data from factories, vehicles, homes, hospitals, shops, and supply chains across the world. Consequently, businesses are getting aboard on the trend of using IoT and big data to improve operational efficiency and food safety. They are now able to get access and notification to real-time data relating to storage conditions, temperature, and hygiene of food products.

IoT and big data are helping players in the food safety market to enhance traceability from farm to fork through a series of interconnected devices and centralized networks. In this article, we bring o you some evidence of IoT and big data revolutionizing the food safety market landscape.

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Enhanced Traceability

Companies have evolved from using barcodes and RFID manually to incorporating it within the IoT. This interconnectivity facilitates the food traceability from their point of origin to subsequent follow-up destinations across each level of the supply chain until the grocery store. Companies are using advanced sensors to track and identify food dust particles, temperature, humidity, and contamination across the distribution channel. This enables them to determine where the contamination took place and take action to mitigate the situation.

Production Traceability

Food Safety Efficiency

IoT is considered a breakthrough in the food safety market with its ability to closely monitor food safety data points such as temperature and humidity. These sensors can automatically send out alerts to a central network notifying the user to take action. The technological advancement has progressed to such levels that with the help of big data it is possible to analyze the genome of bacteria within the food and detect anomalies in food samples with harmful bacteria.

To gain comprehensive insights into the trends impacting food safety, request a free proposal.

Food Safety Through Multiple Data Sources

Big data takes the food safety game to the next level by gathering data across other verticals apart from just temperature and humidity. For instance, regulatory inspection programs are taking advantage of publicly available information such as food inspection reports, 311 service data, community and crime information, and weather data to run predictive models to identify restaurants that are likely to breach food safety regulations.

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