Research at the Australian Plant Phenomics Facility is leading to the development of new and improved crops, healthier food and more sustainable agricultural practices. To achieve these goals, APPF needed a way to quickly and efficiently analyse large amounts of image data from their experiments. Zegami offered a way to visualise trends in the growth of the plants and efficiently validate their automated image analysis data.

The APPF have made huge strides forward using Zegami for data exploration and quality control. They also use Zegami to collaborate with research partners and publish their findings (Al-tamimi et al. 2016; Ward et al., 2019). George Sainsbury, Data Architect & Software Engineer at the APPF, has been using Zegami for over 5 years now, and pushing the boundaries of the platform, driving some of the many improvements in that time: “Someone once put it succinctly; ‘If you’re taking 10,000 images a day, they’re not for humans to look at”. With Zegami, we are able to look at them again, and quickly determine which ones we might want to examine further…