Articles Tagged with ''artificial intelligence''

With a $5 million grant from the U.S. National Science Foundation (NSF), a multidisciplinary research team is developing sensor-based rapid detection technology, backed by an artificial intelligence (AI) –powered decision support system, to control Salmonella and other foodborne pathogens throughout the poultry supply chain.

A recent publication from the Food and Agriculture Organization of the United Nations (FAO) has provided an in-depth review of early warning systems for food safety risks, an explanation of available open access tools, and the potential applications of Big Data and artificial intelligence (AI) in the field.

This article provides a future-oriented perspective on comprehensive food safety programs that harness multi-layered sensor technology and artificial intelligence (AI). The program described begins with biosurveillance at the producer level and seamlessly extends to the retail food sector.

The advent of artificial technologies like electronic noses, electronic eyes, and electronic tongues has fundamentally reshaped our approach to evaluating food samples, as underscored by their ability to capture intricate sensory attributes. The symbiotic relationship between artificial instruments and machine learning underscores their potential to reshape the food industry, ensuring that the food we relish is not only delectable but also safe and of the highest quality.

The use of artificial intelligence (AI) tools like big data and machine learning for antimicrobial resistance (AMR) surveillance in livestock production shows promise for informing AMR mitigation efforts, according to a recent study led by University of Nottingham researchers.

A variety of actions, spanning from simply changing a nozzle to implementing AI technology, can contribute to making sanitizing procedures more sustainable. The authors dive into some of these actions and look at the effectiveness, implementation challenges, and consequences for the end products.

ImagoAI Inc. has launched a new, affordable rapid mycotoxin test that provides results in 30 seconds for corn silage and corn mycotoxins.

Artificial Intelligence (AI) with optical imaging may be a promising solution for detecting pathogens in foods, and would save the food industry time and resources, according to a recent study.

The Food and Agriculture Organization of the United Nations (FAO) and Wageningen University recently held a workshop about early warning tools and systems that can be used to manage imminent and emerging food safety issues. 

Key Technology has announced its new, AI-driven Sort-to-Grade® software for Key digital sorters, which recognizes and categorizes the surface defects and length of individual potato strips.