Can artificial intelligence and machine learning transform food safety?
Although the act of food fraud isn’t something new, the creation and development of a comprehensive food fraud management system are new for the food industry.
Managing large-scale events requires trusted relationships, collaboration, and information sharing to safeguard public health.
Trending environmental monitoring data can help with a root-cause analysis to uncover the origins of the positive finding and may inform the mitigation strategy.
Larger dairy processors recognize the challenge that food safety issues among smaller producers could affect the reputation of the industry overall.
The purpose of farm food safety is to assess and minimize the risk caused by microbial contamination.
Issues related to microbiology, environmental monitoring, and pathogen control still occupy a primary focus for the coming year in food safety.
Time and temperature are the two most important parameters that dictate the use of blanching as a process preventive control