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Research Shows Promise for AI-Based Salmonella Detection in Poultry
New artificial intelligence (AI)-based tools could help poultry producers detect Salmonella more quickly using smartphone images and bird activity patterns, according to a newly published study conducted at the University of Georgia. The project was funded by the USPOULTRY Foundation to advance innovative solutions for poultry health and food safety. The research is part of the Association’s comprehensive research program, which encompasses all phases of poultry and egg production and processing, and is made possible in part through proceeds from the International Poultry Expo, part of the International Production &...
NCC Submits Comments Supporting USDA Proposal to Increase Poultry Line Speeds
The National Chicken Council (NCC) yesterday filed comments with the U.S. Department of Agriculture’s Food Safety and Inspection Service (FSIS) strongly supporting a proposed rule that would increase the maximum line speed for young chicken processors operating under the New Poultry Inspection System (NPIS) from 140 to 175 birds per minute (bpm).
“This is a science-based rule backed with decades of data that will make chicken more affordable for American families, create jobs in rural communities, and strengthen U.S. global competitiveness — all while...
Researchers Evaluate Variability and Lot Definitions in Secondary Poultry Processing
USPOULTRY and the USPOULTRY Foundation announce the completion of a research project evaluating whether “combos” can reasonably be treated as independent lots, specifically when it comes to food safety, particularly Salmonella. The research is part of the Association’s comprehensive research program, which encompasses all phases of poultry and egg production and processing, and is made possible in part through proceeds from the International Poultry Expo, part of the International Production & Processing Expo.
Project #744: Discerning Lot-to-Lot Independence, Variability and Commercial Feasibility of a Lot Definition Using Statistical Approaches...
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