Murdoch continues to lead meat industry revolution May 26, 2017 Associate Professor Graham Gardner has helped to develop a revolutionary scanning technology. A revolutionary scanning technology developed by Murdoch University and their research partners has delivered significant results from the latest commercial trials. DEXA, dual x-ray absorptiometer technology, is a carcass measurement system which can accurately differentiate meat from fat and bone, offering considerable efficiency savings to Australia’s meat industry. Meat & Livestock Australia (MLA) has announced plans to install the technology at meat processing facilities throughout Australia, after successful trials recorded improvements in precision and accuracy in lamb processing. New work done at a Victorian abattoir has demonstrated positive results after the technology produced similar levels of accuracy in beef production. Murdoch University’s Associate Professor Graham Gardner, who developed DEXA in collaboration with Scott Automation & Robotics, said: “Cattle are sold mainly based on their weight. “This method is a poor indicator of the amount of meat on a carcase. Our analysis of this traditional method, using beef datasets, found that accuracy varied from 10-80 per cent. “Results from the latest commercial trials shows that DEXA can accurately measure beef and differentiate meat from fat and bone with good precision. “DEXA described 88% of the variation in carcase fatness within the mob of 50 cattle scanned, with the bulk of these predictions ranging within three carcase fat % units of their true value.” In May last year, MLA announced that Murdoch University would lead a $12.5m project to develop DEXA and other carcase measurement technologies. The Advanced Livestock Measurement Technologies project is funded by the government’s Rural R&D for Profit program. It is focused on further refinement of the lamb and beef DEXA algorithm, the development of eating quality and live animal measures, industry database alignment and the promotion of processor-producer feedback. MLA announced this week a further $10 million investment to accelerate the adoption of the DEXA technology. The organisation is partnering with meat processing plants around the country to support the installation of DEXA measurement systems. “This project will enable supply chains and the businesses within them to drive new efficiencies, generate more value and better meet market demands, which ultimately improves our industry’s international competitiveness,” said MLA Managing Director Richard Norton. Professor Gardner said he was delighted that the DEXA scanning technology has now been selected by the Australian meat industry as the key to future efficiency savings. He said: “Once the system has been fully implemented, Australia will set the standards which the international industry will follow.” Professor David Morrison, Deputy Vice Chancellor Research & Innovation at Murdoch University, said: "Professor Gardner’s work is a perfect example of Murdoch University’s translational research focus, which aims to provide solutions to the challenges facing industry and the wider world.” The rollout of DEXA technology will not only bring greater accuracy in terms of meat yield and improved profit margins, it will also provide vital data which will help raise meat quality and consistency across the industry. Print This Post Media contact: Pepita Smyth Tel: (08) 9360 1289 | Mobile: 0417 171 551 | Email: firstname.lastname@example.org Categories: General, Research, Schools, School of Veterinary and Life Sciences, School of Veterinary and Life Sciences Research, agriculture Tags: david morrison, dexa, graham gardner, meat and livestock australia, richard norton, scott automation and robotics Comments (One response) ANDREW TAGGART May 30, 2017 Great work Graham. The Indian delegation here next week will be interested. Leave a comment Name (required) Mail (will not be published) (required) Website You can use these tags : <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <s> <strike> <strong> We read every comment and will make every effort to approve each new comment within one working day. To ensure speedy posting, please keep your comments relevant to the topic of discussion, free of inappropriate language and in-line with the editorial integrity of this newsroom. If not, your comments may not be published. Thanks for commenting!