Phobos developed a flagship web application to provide an interface for growers to blend their loads of grain. The web application allowed CBH growers to drag and drop loads into optimised lots, or to automatically determine the optimal blend for a grower’s loads using an optimisation algorithm. Phobos also delivered a solution that allowed one click deployment for the entire application.
Grain Classification Prototype
Phobos developed a prototype grain classification engine for CBH Group that accurately and performantly classified thousands of images of grain from grower load samples. As part of the project Phobos investigated several Machine Learning algorithms, developed a large set of image analysis features and heavily leveraged multi-threading.
Site of 2020
As part of CBH’s commitment to improving efficiency when delivering grain to their sites, they have incorporated a mobile application to integrate with their Site based services. Phobos delivered the integration for this mobile application, leveraging state of the art messaging frameworks based on Azure platform to provide a robust and scalable solution.