Food safety is used as a scientific discipline describing handle, preparation, and storage of food in ways that prevent food-borne illness. The occurrence of two or more cases of a similar illness resulting from the ingestion of a common food is known as a food-borne disease outbreak.
1.Ensuring Food Safety with Big Data and IoT
FREMONT, CA: Several ideas and applications to ensure the quality and safety of the food products by Big Data and IoT are mentioned below
Tracing Shipment with IoT:
Advanced IoT sensors, RFID, and bar-codes are produced to extract detailed information and track the shipped food items. The functionality of the sensors can significantly increase food safety, the ability to identify even small dust specks and monitor environmental conditions such as temperature. Sensors can also deliver real-time data, thus guaranteeing optimal conditions highlighted by safety guidelines.
IoT in Investigation:
IoT technology can supervise and conduct superior quality tracking and can carry out investigations to pinpoint the exact location of contamination.
Adding of Big Data:
IoT, with the aid of Big Data technology, can analyze and assemble the data to recognize patterns of food-safety failures, assists in tracking failure points, and also predict the reason for food spoilage.
Recognition of natural disasters, with the help of Big Data from historical patterns analysis, can result in preventing food-related accidents and utilizing products beneficially. Certain environmental conditions cannot be encouraged because of the contamination of food products that will result in them being branded unsafe for consumption.
Genetic Indexing can be carried out with Big Data technology as it differentiates and understands the correlation between DNA and RNA. IoT can be used to track the source of the bacteria, which is identified by Big Data.
Storage safety with Big Data and IoT:
Most of the food storage facilities face the same crisis — infestation with rats — that bring down the quality of the food product regardless of the source. Real-time data from the IoT sensors can be used to monitor, control, and prevent any conditions that jeopardize the quality of food products.
Big Data and IoT promote better collaboration:
The collaboration among the technologies Big Data and IoT assist in maintaining the quality of food product manufactured from the process of harvesting to the packaging. Although the ultimate change is carried out by human beings, the technology can enable systems of verification and identification to support the mitigation of risks associated with global food systems.
The implementation of the collaborative technological framework can increase the development of the food industry and the economics behind it. The IoT and Big Data are incorporated to attain answers for evaluation of feasibility and risks associated with the spread.
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2.Food Safety and Supply Chain Transparency with Advanced Technology
There are counterfeit products in the food chain as it lacks traceability, and food safety in sourcing ingredients increases the risk of contamination. Spoilt food can impact the business and the reputation of the industry.
Supply Chain Improvement Project is implemented using GS1 standard to manage ingredient safety and to improve the visibility in food ingredients and raw materials in an intricate supply chain. The project aims to strengthen the integration of thousands of complex supply chains in the Australian food manufacturing industry.
To drive the project using GS1 global standards an industry group is set up for data capture, product identification, and data sharing. GS1’s Global Traceability Standard (GTS) will allow the business to track their products in real-time and the traceability framework will provide end-to-end visibility of the supply chain. handling systems. From a food safety perspective, it is critical for the food and beverage business to track the ingredients back to the origin. Supply Chain Transparency…