Factors related to the pellet manufacturing process, the feed formulation, and regional environmental data can be successfully used to build machine learning regression models for predicting pellet quality in a commercial setting, finds a study.
Technology like AI can help poultry producers improve the efficiency and health of flocks, identify previously unknown problems and anticipate outcomes, says Cargill.