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National Meat Industry Training Advisory Council Limited

Disease and Contamination Library is up and running

After nearly two years of development, the Disease and Contamination Image Library is ready for use.

This AMPC project has involved the cataloguing of several thousand images into a framework which can easily be expanded upon in future years.

The meat industry now has a modern, easily accessible resource that contains a large number of examples of diseases and contamination photos. This resource will be used to enhance training and assessment materials within the Australian Meat Processing Training Package and to increase the competency of new and existing industry personnel in the areas of:

  • disease recognition at ante-mortem
  • disease recognition at post-mortem
  • recognition of contamination when MHA monitoring and trimming.

Through the image library, the meat industry has the ability to use a wide range of photos to assess competency in disease and contamination recognition which increases the validity of the assessment and ensures that students are truly tested. This can be by Registered Training Organisations using the images within their training and assessment processes or through the revision tool built into the image library. This revision tool can be used by new students or as a currency assessment tool for meat inspectors returning after a period away from the job.

The benefits for the meat industry will be ongoing. The image library will continue to develop and expand as industry personnel commence using it. Not only is there capability to continually upload new images, new categories can also be included to support other area of the meat industry.

To access the library go to the Image Library login page on the Mintrac website. You will need to sign up in order to see the library. AMPC members will also be able to access the image library on the AMPC website from the 1st of August.

The image library will also be demonstrated at the next round of AMPC Network meetings.

MINTRAC would like to thank AMPC, Management for Technology, ASURE NZ and the many contributors and reviewers who have been part of this project. In particular we would like to acknowledge the excellent work of Kate Christensen in bringing the project to a successful conclusion.