American farmers are rapidly ploughing ahead with adopting artificial intelligence. The technology is as sophisticated as it is essential.
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US farms are making an urgent push into AI. It could help feed the world
1 day ago
By Sam Becker,Features correspondent
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American farmers are rapidly ploughing ahead with adopting artificial intelligence. The technology is as sophisticated as it is essential.
Standing in a lush green field in the American Midwest, a farmer points his smartphone at one of his soybean plants. He snaps a photo of a pest crawling a leaf, then lets an AI-driven programme name the species of the bug, and whether it's a cause for concern. Technology like this might sound like a novelty – but it is vital.
Across agriculture, a dearth of workers is threatening the viably of the industry, both in terms of profitably and crop yield. There simply are not enough hands to sustain the food systems that feed the world. This is particularly a problem in the US, which produces the third-largest agricultural output behind China and India.
One of the biggest issues is simple:
farmers are getting older. Many can't take on the sun-up-to-sundown manual labour needed to effectively run a farm. And while many these operations have been family-run for decades, younger generations aren't taking the reins from their elders as they once did, instead opting for jobs in less labour-intensive, better-paying industries. The hired labourers who make up the rest of the agricultural workforce, largely immigrants, are following these patterns, too.
"Labour is the number one concern," says Emily Buckman, director of government affairs at the
American Farm Bureau Federation, an industry trade association. "The average age of a farmer now is 60. Buckman herself grew up on a farm in Kentucky, where her 70-year-old father still works the soil, with only her brother to hlp him.
To solve the problem – especially as
the worker pool is not only thinning but also getting more expensive, and
crop yields are declining – some US farmers are looking to emerging robotics and AI tools. "We think about solutions to solving that problem, and we do think that advances in technology could help ease some of the labour load," says Buckman.
Artificial intelligence in agriculture is not wholly new: nascent iterations have been in use for two decades, like auto-steering guidance systems to row crops such as corn. But AI take-up in the past few years has been swift; according to some estimates,
87% of businesses in the US agricultural industry were using AI in some shape or form as of late 2021. The federal government, too, is currently fast-tracking the agriculture industry towards the tech, providing
financial incentives to speed up development and deployment of AI across the country.
Matt Becker
Machines like Tomra's potato processing robot – here on a farm in southern Idaho – are reducing the strain of understaffing (Credit: Matt Becker)
If the push to adopt AI across the
nearly two-million American farms succeeds, the implications for the rest of the world could be substantial. This is especially the case as the number of mouths to feed across the globe grows, and climate change threatens the agriculture ecosystems of some of the largest producers on Earth – including the US itself, which exported more than $100bn (£78.9b) of products to China, Mexico, Canada and Europe last year alone.
The industry's goal is to develop and adopt new technology on a mass scale that is both affordable and accessible "so that farmers can feed the world", says Buckman. "The world population is supposed to increase by two billion by 2050, which means we're going to need to grow 70% more food than we do now. Innovative technology is going to help us do that."
'A great deal of promise'
There is a lot of pressure for the agriculture industry to find solutions – and fast. The US labour shortage has already forced these operations to do more with less. But the urgency of the climate crisis is the tipping point. Erratic weather has made it more difficult to predict growing conditions, and is also
hurting crop yields. In other words, hotter weather
could lead to less food, sooner than expected.
"All projections show major losses in crop yields due to climate change," says
Patrick Schnable, a distinguished professor at Iowa State University, where he directs the Plant Sciences Institute. "A 10% or 20% reduction in corn yields would be catastrophic," he says. So, the question is: "Can we use AI to increase resiliency?"
Iowa State is home to the
AI Institute for Resilient Agriculture, which works to create AI-driven tools and technologies with partner institutions across the US, and is supported by the National Science Foundation (NSF) and the United States Department of Agriculture (USDA).
Courtesy of John Deere
John Deere's Operations Center is an online farm-management system that provides real-time data to facilitate precision agriculture strategies (Credit: Courtesy of John Deere)
"Our focus is looking at two broad problems," says Schnable. "One is sustainability identification – how do you design new activities that are related to agriculture and resilient to climate change," he says. "The second thing is, how can AI, robotics and sensing [tools] enable more profit for farmers, less utilisation of resources, energy, chemicals and water."
Baskar Ganapathysubramanian, director of the AI Institute for Resilient Agriculture, and a professor in the mechanical engineering department at Iowa State University, says that in terms of tackling those two goals, "there's a great deal of promise, and some of it's already being implemented".
Currently, Buckman says drones and GPS tools are the most widespread AI tools on the market. But there are many others, too, such as self-driving tractors and combines, and even quality sensors on those machines that can help farmers determine which parts of their crops need more or less attention.
There are also robots that can do automated sorting tasks that previously required a human eye. For instance, some farms are leveraging
AI tech to sort potatoes, looking for specific defects. Others are using
AI-enhanced cultivators to plant seeds and remove weeds from fields, which can effectively replace dozens of human workers.
Fertile soil for AI
Using AI to reduce the quantity of resources used, while also improving crop yields, is a part of a larger strategy experts refer to as "precision agriculture". The idea is for farmers to use emerging technologies – say, drones that assess a field's water or pesticide levels – to address problem areas with surgical precision.
"Precision agriculture helps reduce water waste, be more efficient and do more with less," says Buckman. "US agriculture would've needed 100 million more acres 30 years ago to match today's production levels," she says. The production improvements are largely due to
precision ag strategies being used in tandem with AI and other tech.
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Drones are among the most widespread AI tools in use, but they're only getting more sophisticated as technologists innovate (Credit: Getty Images)
Many of these advancements have been pioneered and deployed at scale by major players in the global agricultural space. Among them is Illinois-based John Deere, which develops and manufactures tractors and other tech tools for use in agricultural operations across the world.
"Our goal with AI and technology is to help farmers do their jobs better," says Sarah Schinckel, John Deere's director of emerging technologies in the Intelligent Solutions Group (ISG). AI tools are "changing farming, it's already here, and farmers are adopting it", she says. "We see a future where more and more farmers are using this technology."
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