Prediction of Pellet Durability Index in a commercial feed mill using multiple linear regression with variable selection and dimensionality reduction.

ABSTRACT: Pellet quality, measured as the Pellet Durability Index (PDI), is an important key performance indicator for commercial feed manufacturing, as it can impact both mill efficiency and downstream performance of animals fed the manufactured diets. However, it is an ongoing challenge for the feed industry to control pellet quality, due to the complexity of feed manufacturing and the large number of variables influencing the process. Previous studies have explored the prediction of pellet quality using either simple empirical models with a few variables or machine learning models with many variables. The objective of the current study was to develop statistical regression models to predict PDI and to describe the relationship between pellet quality and 55 available variables based on a dataset w

SUBMITTER: You J 

PROVIDER: S-EPMC11914881 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature