Grain Trade Australia (GTA) is currently holding discussions with leading experts in the grain industry in Sydney, Australia to establish a standard and supporting framework for the national adoption of digital image recognition technology for grain quality. The Australian grain industry is eager to take advantage of the many benefits and emerging opportunities presented by this technology, which uses digital images to evaluate grain quality attributes and defects in grain samples.
Once a standard has been established, GTA plans to conduct a pilot program to test the process. GTA’s chief executive officer, Pat O’Shannassy, emphasized the potential of digital image recognition technology to enhance the speed, accuracy, and consistency of grain quality testing. Having consistency in the various grain supply chains is critical for all stakeholders and contributes significantly to the smooth facilitation of trade.
Current processes for some grain quality tests rely on visual examination or other methods that have not changed for many years. Therefore, there is a need to develop an accepted process to ensure consistency and accuracy before new equipment is introduced into the market. Researchers and technology providers are eagerly awaiting industry adoption of digital image recognition technology, but there is currently no standard or implementation framework in place.
GTA aims to fill this gap by proposing an industry standard and supporting framework that will enable both government agencies and commercial companies to adopt a uniform system for assessing, approving, and maintaining emerging digital imagery grain assessment technology. The proposed standard will allow all stakeholders across the Australian grain testing and certification processes for both domestic and export grains to adopt a consistent approach.
Established in 1991, GTA plays a vital role in formalizing commodity trading standards across Australia’s vast agricultural sector. The organization works tirelessly towards developing trade rules that promote efficiency in commercial activities across the grain supply chain.
In conclusion, digital image recognition technology has enormous potential to transform how we assess grains’ quality attributes and defects. With GTA’s efforts towards establishing an industry standard