FLOX uses advanced machine vision and learning to improve chicken welfare, farmer profitability, and industry sustainability.
I. What does FLOX do?
FLOX’s enterprise-grade broiler management system collects data (environmental and behavioural, plus standardised metrics such as feed conversion) on-farm for sharing and actioning across the supply-chain, systematically improving welfare and performance while providing industry stakeholders with the tools and insights they need to reduce emissions and carbon and water footprints.
II. How does FLOX apply ML to solve problems?
In a nutshell, FLOX uses MV and ML to supplement and scale the expertise of a highly experienced stockperson. The broiler industry faces scalability, regulatory and reputational challenges as chickens are difficult to manage manually/granularly and welfare is difficult to evidence. MV is used to capture high-resolution ‘stitched’ video of the entire chicken shed, allowing for remote monitoring; this media is then overlaid with ML algorithms that analyse flock movement and activity, graph bird weights, make predictions, and send alerts to farmers where early intervention or corrective action is required. This same ML-based data supports executive decision-making.
III. How did FLOX come up with the idea?
The sensing and MV/ML technologies FLOX uses are designed to scale and have already been commercialised in other sectors, notably driverless cars and space exploration. The founding team (with extensive sector knowledge in both) saw a significant, time-sensitive opportunity to combine and apply these technologies to the rapidly growing broiler industry. It’s been proven that better managed sheds are key to improving welfare, profitability and sustainability – so building and scaling an AI-powered management platform that ‘kills three birds with one stone’ was a no-brainer.