DIT AgTech was originally founded to solve a very practical problem for grazing producers: delivering consistent nutrition to livestock across large, remote properties.
Traditional supplementation methods, such as lick blocks or loose mineral supplements, can be labour-intensive and inconsistent. On extensive cattle stations, not all animals consume the supplement due to hierarchy within the herd, distance from feeding points, or simple variability in intake.
“Our approach was simple: animals drink water every day. So, we developed a system that delivers nutrients through the water supply,” said Mark Peart, CEO.
“Today, our uDOSE™ precision water supplementation system integrates hardware, IoT connectivity, and cloud monitoring via the uHUB dashboard, enabling producers to deliver supplements while remotely controlling dose rates and monitoring performance.”
This real-time data helps producers optimise supplementation programs and quickly detect problems in remote watering points. By delivering supplements through water, every animal receives a consistent daily intake, labour associated with distributing supplements across paddocks is removed, and supplement wastage from weather or overconsumption is reduced.
In commercial operations, this automation can reduce supplementation and labour costs, while also eliminating the need for frequent manual feeding runs.
Across commercial deployments, producers commonly report a 10 to 55 percent increase in average daily gains, up to 15 percent improvement in reproduction rates, more consistent body condition across the herd and improved resilience during dry seasons or poor pasture conditions.
Because the supplement delivered is proportional to water consumption, farmers can avoid both under- and over-supplementation. This reduces waste, improves nutrient efficiency, and lowers overall input use.
Another major benefit is the ability to deliver methane-reducing additives at scale through water, which is particularly valuable in extensive grazing systems where controlled feeding is difficult.
Read more in the latest issue here
