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Using the power of Artificial Intelligence to tackle time-critical processes and increase productivity

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Business Challenge

  • Meat and Livestock Australia (MLA) is a service provider to the red meat industry, and they provide research to protect and promote the industry in Australia and international markets

  • To detect levels of harmful parasites in livestock, farmers collect samples, and distribute them for manual testing, a lengthy and inefficient process

  • MLA sought to streamline this laborious process through the development of a predictive smartphone app

Results

  • The technology developed enables farmers to identify and treat parasites in the field, saving time and increasing productivity

  • The app uses Machine Learning to detect the number and type of parasites from a photograph of the animals faeces, rather than a collection sample

  • Research has uncovered future avenues to explore, and technology can be developed further, with the ability to deploy via smartphones, dedicated appliances, laptops or the Cloud

Solution & Approach

  • Due to the lack of existing data, tools, and research publicly available in this area, an R&D project was conducted

  • A 3-stage plan was developed to leverage the power of Artificial Intelligence to tackle detection challenges through computer vision and Machine Learning

  • The plan encompassed the creation of parasite images, study of machine learning algorithms, training of neural networks and deployment of the technology

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