Machine learning to further improve the decision which boar ejaculates to process into artificial insemination doses

Recently a new CASA article about ‘Machine learning to further improve the decision which boar ejaculates to process into artificial insemination doses’ has been accepted and published.

Highlights are:

  • CASA is a valuable tool for AI laboratories to decide which boar ejaculate to process into AI doses.
  • This decision could not be improved by a data-driven model to analyze the data.
  • This decision could not be improved by adding more CASA data or other data.
  • Nine parameters not used today were identified as potentially interesting.


The full article can be read and dowloaded here.

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