An application for the classification of egg quality and haugh unit based on characteristic egg features using machine learning models

作者：

Highlights：

• A novel dataset including combinations of RIR and BAR individuals has been created.

• 20 characteristic egg features have been used to classify egg quality and HU.

• Eggs have been classified as excellent quality and very good quality by ML models.

• HU at the 24th week and the 32nd week have been classified by ML models.

摘要

•A novel dataset including combinations of RIR and BAR individuals has been created.•20 characteristic egg features have been used to classify egg quality and HU.•Eggs have been classified as excellent quality and very good quality by ML models.•HU at the 24th week and the 32nd week have been classified by ML models.

论文关键词：Classification,Egg quality,Haugh unit,Machine learning

论文评审过程：Received 26 February 2022, Revised 29 April 2022, Accepted 28 May 2022, Available online 1 June 2022, Version of Record 6 June 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117692