A farmer adjusts a cow's IDA, or “The Intelligent Dairy Farmer’s Assistant”, which device uses a motion-sensing device attached to the cow’s neck to transmit its movements to a program driven by artificial intelligence. Ben Sellon/AP
A farmer adjusts a cow's IDA, or “The Intelligent Dairy Farmer’s Assistant”, which device uses a motion-sensing device attached to the cow’s neck to transmit its movements to a program driven by artificial intelligence. Ben Sellon/AP
A farmer adjusts a cow's IDA, or “The Intelligent Dairy Farmer’s Assistant”, which device uses a motion-sensing device attached to the cow’s neck to transmit its movements to a program driven by artificial intelligence. Ben Sellon/AP
A farmer adjusts a cow's IDA, or “The Intelligent Dairy Farmer’s Assistant”, which device uses a motion-sensing device attached to the cow’s neck to transmit its movements to a program driven by artif

AI for cows gives farmers a hoof up


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Is the world ready for cows armed with artificial intelligence?

No time to ruminate on that because the moment has arrived, thanks to a Dutch company that has married two technologies - motion sensors and AI - with the aim of bringing the barnyard into the 21st century.

The company, Connecterra, has brought its IDA system , or "The Intelligent Dairy Farmer's Assistant", to the United States after having piloted it in Europe for several years.

IDA uses a motion-sensing device attached to a cow's neck to transmit its movements to a program driven by AI. The sensor data, when aligned repeatedly with real-world behaviour, eventually allows IDA to tell from data alone when a cow is chewing cud, lying down, walking, drinking or eating.

On the cow’s neck is a device called IDA, or “The Intelligent Dairy Farmer’s Assistant,” created by Connecterra. Marina Hutchinson/AP
On the cow’s neck is a device called IDA, or “The Intelligent Dairy Farmer’s Assistant,” created by Connecterra. Marina Hutchinson/AP

Those indicators can predict whether a particular cow is ill, has become less productive, or is ready to breed - alerting the farmer to changes in behavior that might otherwise be easily missed.

"It would just be impossible for us to keep up with every animal on an individual basis," says Richard Watson, one of the first four US farmers to use IDA since it launched commercially in December.

Mr Watson, who owns the Seven Oaks Dairy in Waynesboro, Georgia, says having a computer identify which cows in his 2,000-head herd need attention could help improve farm productivity as much as 10 per cent, which would mean hundreds of thousands of dollars to his family.

"If we can prove out that these advantages exist from using this technology ... I think adoption of IDA across a broad range of farming systems, particularly large farming systems, would be a no-brainer," he says.

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Dairy farming is just one industry benefiting from AI, which is being applied in fields as diverse as journalism, manufacturing and self-driving cars. In agriculture, AI is being developed to estimate crop health using drone footage and parse out weed killer between rows of cotton.

Yasir Khokhar, the former Microsoft employee who is the founder and CEO of Connecterra, says the inspiration for the idea came after living on a dairy farm south of Amsterdam.

"It turns out the technology farmers use is really outdated in many respects," he says. "What does exist is very cumbersome to use, yet agriculture is one of those areas that desperately needs technology."

A Moocall device is seen on the tail of a pregnant dairy cow at the Mackinson Dairy Farm. The device monitors the cow's movements and will trigger a text message to announce that the cow is about to give birth. Teresa Crawford/AP
A Moocall device is seen on the tail of a pregnant dairy cow at the Mackinson Dairy Farm. The device monitors the cow's movements and will trigger a text message to announce that the cow is about to give birth. Teresa Crawford/AP

Underlying IDA is Google's open-source TensorFlow programming framework, which has helped spread AI to many disciplines. It's a language built on top of the commonly used Python code that helps connect data from text, images, audio or sensors to neural networks - the algorithms that help computers learn. The language has been downloaded millions of times and has about 1,400 people contributing code, only 400 of whom work at Google, according to product manager Sandeep Gupta.

He says TensorFlow can be used by people with only high-school level math and some programming skills.

"We're continuing this journey making it easier and easier to use," Mr Gupta says.

TensorFlow has been used to do everything from helping Nasa scientists find planets using the Kepler telescope to assisting a tribe in the Amazon detect the sounds of illegal deforestation, according to Google spokesman Justin Burr.

Google hopes users adapt the open-source code to discover new applications that the company could someday use in its own business.

A farmer uses a phone to monitor a cow's IDA. Ben Sellon AP
A farmer uses a phone to monitor a cow's IDA. Ben Sellon AP

Even without AI, sensors are helping farmers keep tabs on their herds.

Mary Mackinson Faber, a fifth-generation farmer at the Mackinson Dairy Farm near Pontiac, Illinois, says a device attached to a cow's tail developed by Irish company Moocall sends her a text when a cow is ready to give birth, so she can be there to make sure nothing goes wrong. Moocall doesn't use AI - it simply sends a text when a certain threshold of spinal contractions in the tail are exceeded.

While she calls it a "great tool", she says it takes human intuition to do what's right for their animals.

"There are certain tasks that it can help with, and it can assist us, but I don't think it will ever replace the human."

The specs
  • Engine: 3.9-litre twin-turbo V8
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Mercer, the investment consulting arm of US services company Marsh & McLennan, expects its wealth division to at least double its assets under management (AUM) in the Middle East as wealth in the region continues to grow despite economic headwinds, a company official said.

Mercer Wealth, which globally has $160 billion in AUM, plans to boost its AUM in the region to $2-$3bn in the next 2-3 years from the present $1bn, said Yasir AbuShaban, a Dubai-based principal with Mercer Wealth.

Within the next two to three years, we are looking at reaching $2 to $3 billion as a conservative estimate and we do see an opportunity to do so,” said Mr AbuShaban.

Mercer does not directly make investments, but allocates clients’ money they have discretion to, to professional asset managers. They also provide advice to clients.

“We have buying power. We can negotiate on their (client’s) behalf with asset managers to provide them lower fees than they otherwise would have to get on their own,” he added.

Mercer Wealth’s clients include sovereign wealth funds, family offices, and insurance companies among others.

From its office in Dubai, Mercer also looks after Africa, India and Turkey, where they also see opportunity for growth.

Wealth creation in Middle East and Africa (MEA) grew 8.5 per cent to $8.1 trillion last year from $7.5tn in 2015, higher than last year’s global average of 6 per cent and the second-highest growth in a region after Asia-Pacific which grew 9.9 per cent, according to consultancy Boston Consulting Group (BCG). In the region, where wealth grew just 1.9 per cent in 2015 compared with 2014, a pickup in oil prices has helped in wealth generation.

BCG is forecasting MEA wealth will rise to $12tn by 2021, growing at an annual average of 8 per cent.

Drivers of wealth generation in the region will be split evenly between new wealth creation and growth of performance of existing assets, according to BCG.

Another general trend in the region is clients’ looking for a comprehensive approach to investing, according to Mr AbuShaban.

“Institutional investors or some of the families are seeing a slowdown in the available capital they have to invest and in that sense they are looking at optimizing the way they manage their portfolios and making sure they are not investing haphazardly and different parts of their investment are working together,” said Mr AbuShaban.

Some clients also have a higher appetite for risk, given the low interest-rate environment that does not provide enough yield for some institutional investors. These clients are keen to invest in illiquid assets, such as private equity and infrastructure.

“What we have seen is a desire for higher returns in what has been a low-return environment specifically in various fixed income or bonds,” he said.

“In this environment, we have seen a de facto increase in the risk that clients are taking in things like illiquid investments, private equity investments, infrastructure and private debt, those kind of investments were higher illiquidity results in incrementally higher returns.”

The Abu Dhabi Investment Authority, one of the largest sovereign wealth funds, said in its 2016 report that has gradually increased its exposure in direct private equity and private credit transactions, mainly in Asian markets and especially in China and India. The authority’s private equity department focused on structured equities owing to “their defensive characteristics.”

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