Autonomous Livestock Management, Built For Real-World Operations

Autonomous Livestock Management, Built For Real-World Operations

With his family background in agriculture and years of experience as a professional drone operator, Edward Barraclough, founder and CEO of Drone-Hand, began thinking about how the technology could be applied more meaningfully on-farm.

Drone-Hand was built around the idea of using autonomous systems to reduce workload, improve safety, and provide reliable visibility across stations, feedlots and dairies, even in areas without internet connectivity.

Most agricultural land, particularly in Australia, New Zealand, and parts of North and South America, has limited or no reliable connectivity. Barraclough highlighted that if a system depends on internet access to function, it becomes impractical very quickly, especially when handling large volumes of data.

“Our approach is to process data on-device so that the system can operate completely offline during flight. That means producers can still get real-time insights regardless of connectivity, with detailed reports that can be downloaded later when a connection is available,” said Barraclough.

Without that capability, large parts of the livestock industry simply couldn’t adopt this type of technology.

He added that the tech has moved from drones as tools that need to be flown to systems that can operate autonomously as part of everyday farm infrastructure.

Instead of a farmer needing to go out, drive for hours, and manually inspect stock or water, autonomous drones can be deployed to run those checks on a schedule or on demand. Combined with machine learning, they’re not just capturing imagery; they’re interpreting it and reacting to it in real time.

For day-to-day operations, that means less time spent on repetitive tasks, faster issue identification, and the ability to make decisions based on consistent, objective data rather than occasional manual observation.

Read more in the latest issue here