Adam henson

2 min read

AI IS CHANGING THE FUTURE OF FARMING

A view from the farm

Mention AI to any self-respecting cattle breeder or livestock farmer and they will wax lyrical about the benefits of artificial insemination.

They’ll talk about bloodlines, the quality of donor sperm and the importance of genetic diversity until the cows come home (literally). But increasingly, discussions on the farm are dominated by a different type of AI: artificial intelligence and how the enormous strides being made in technology are changing agriculture in a way that was unthinkable just a few years ago.

Take drones, for instance. The first agricultural drone took to the air 23 years ago and they have become invaluable in monitoring and mapping fields from above to spot damaged crops and areas of weed or pest infestation. But soon, the technology will be so advanced there will be no need for a human operator, crops will be precision-sprayed automatically from the drone, and they’ll be able to land unaided to allow an onboard robot to take a soil sample.

Of course, many dairy farms are already high-tech locations, with robotic milking machines and GPS collars on every cow. Eventually, though, even that will seem old hat. At Harper Adams University in Shropshire they are developing AI systems that will cover the entire livestock enterprise. I visited their trial farm and was amazed to see more than 70 cameras beneath the roof of the cattle shed with software that recognises individual cows and can log their behaviour, eating habits and milking efficiency to flag up signs of distress or illness.

Mark Rutter is professor of applied animal behaviour at the university and he’s confident something similar can be done with grazing livestock on pasture, with drones replacing the fixed cameras. “In the past four or five years we have gathered large amounts of data on-farm,” he told me. “It really is helping to increase the efficiency of production and improve animal welfare, so we’re seeing all of these benefits.”

Once the information from cameras, sensors and monitors is processed, analysed and synced with existing machinery, such as robotic fruit-pickers or weed-control lasers, anything is possible. It won’t be lo

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