IoT and Big Data: A Revolution in Food Safety
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, home, 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 […]READ MORE >>
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, home, 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. Here are some evidence of IoT and big data revolutionizing the food safety market landscape:
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 supply chain till 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 actions to mitigate the situation.
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.
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.
To gain more insights on the trends in the food safety market:
- Big Data Analytics Accelerates Growth in the Healthcare Industry
- Big Data in the Retail Industry – A Game Changer
- Why Are Pharma Companies Ready to Invest in Real World Evidence?