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Home » Keywords: » machine learning

Items Tagged with 'machine learning'

ARTICLES

Image of person wiping down cafe table with disinfectant

Study: AI Can Predict Listeria Resistance to Cleaning Agents

May 21, 2025

In the study, researchers analyzed the entire genome of over 1,600 Listeria strains. These DNA profiles were used to train a machine learning model that learned to identify genetic patterns associated with resistance to disinfectants commonly used in the food industry. 


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two researchers standing in front of large screen that says AI

Using RASFF Data, Researchers Develop Integrated AI Framework for Improved Food Safety Risk Assessment

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Food Safety Magazine Editorial Team
April 10, 2025

Using EU Rapid Alert System for Food and Feed (RASFF) data, researchers have developed an integrated artificial intelligence (AI) framework for conducting food safety risk assessments, and demonstrated its usefulness in decreasing the ambiguity of risk management decisions.


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digital art of brain made of circuits representing machine learning AI concept

Researchers Explore AI Analysis of WGS Data for Foodborne Illness Source Attribution

baileehendersonmay23.jpg
Bailee Henderson
March 21, 2025

Researchers from CDC, FDA, and USDA trained an artificial intelligence (AI) machine learning model to conduct food source attribution for human cases of salmonellosis by analyzing whole genome sequencing (WGS) data for Salmonella isolates. The model showed promise, estimating that the majority of salmonellosis cases are caused by chicken and vegetables


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New FAO Technical Report on Early Warning Tools and Systems for Emerging Food Safety Risks

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Food Safety Magazine Editorial Team
January 15, 2024

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.


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creative visualization of a digital eye (a human eye with digital graphics overlaid)

Revolutionizing Food Analysis: The Synergy of Artificial Instruments and Machine Learning Methods

Sushant Kaushal Ho-Hsien Chen, Ph.D.
November 7, 2023

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.


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brood of hen

Study Shows Promise for AI-Powered AMR Surveillance, Mitigation in Livestock Production

August 25, 2023

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.


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Novolyze Environmental Monitoring Platform Adds Predictive Insight, Machine Learning

June 9, 2023

Novolyze’s predictive and machine learning-powered environmental monitoring platform helps food manufacturers maintain the highest levels of food safety and quality.


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pile of shrimp

FDA Begins Third Phase of AI Imported Seafood Pilot Program

August 22, 2022

The  U.S. Food and Drug Administration (FDA) has launched the third phase of the Artificial Intelligence (AI) Imported Seafood Pilot program, which uses AI and machine learning to strengthen the screening process for seafood imports entering the U.S.


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data
Data Science

Emerging Opportunities for Machine Learning in Food Safety: Potential and Pitfalls

Determining the right tools and the right data to use them on
Xiangyu Deng, Ph.D. Shuhao Cao, Ph.D. Abigail L. Horn, Ph.D.
April 15, 2021

Opportunities exist for the use of data science in preventing and mitigating foodborne disease outbreaks, often using publicly accessible data. This article examines machine learning/data science approaches, including whole-genome sequencing, to enhance food safety.


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Cargill iQShrimp software

Cargill's iQShrimp helps farmers manage risk, make better decisions

The predictive software uses machine learning and sensors to give shrimp farmers real-time visibility into their farm operations.
March 5, 2018
Shrimp farmers can tap into what is dubbed as the first cloud-based solution in the aquaculture industry thanks to Cargill's iQShrimp.
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Hygienic Design Risk Management: Industry Challenges and Global Insights

Live: July 15, 2025 at 11:00 am EDT: From this webinar, attendees will learn the importance of hygienic design to ensure food safety and sanitation effectiveness.

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Live: July 22, 2025 at 3:00 pm EDT: During this webinar, attendees will learn best practices for the use of digital food safety management systems across industry and regulatory agencies.

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