I wanted to call your attention to this article by William Boston at the Wall Street Journal because it makes a point I have been trying to articulate for some time.
In the verdant hills of Washington state’s Palouse region, Andrew Nelson’s tractor hums through the wheat fields on his 7,500-acre farm. Inside the cab, he’s not gripping the steering wheel—he’s on a Zoom call or checking messages.
A software engineer and fifth-generation farmer, Nelson, 41, is at the vanguard of a transformation that is changing the way we grow and harvest our food. The tractor isn’t only driving itself; its array of sensors, cameras, and analytic software is also constantly deciding where and when to spray fertilizer or whack weeds.
Many modern farms already use GPS-guided tractors and digital technology such as farm-management software systems. Now, advances in artificial intelligence mean that the next step—the autonomous farm, with only minimal human tending—is finally coming into focus.
Imagine a farm where fleets of autonomous tractors, drones and harvesters are guided by AI that tweaks operations minute by minute based on soil and weather data. Sensors would track plant health across thousands of acres, triggering precise sprays or irrigation exactly where needed. Farmers could swap long hours in the cab for monitoring dashboards and making high-level decisions. Every seed, drop of water and ounce of fertilizer would be optimized to boost yields and protect the land—driven by a connected system that gets smarter with each season.
It goes on to discuss autonomous tractors, weeders, fruit pickers, and other applications. Here’s a snippet on picking fruit:
Automation, now most often used on large farms with wheat or corn laid out in neat rows, is a bigger challenge for crops like fruits and berries, which ripen at different times and grow on trees or bushes. Maintaining and harvesting these so-called specialty crops is labor-intensive. “In specialty crops, the small army of weeders and pickers could soon be replaced by just one or two people overseeing the technology. That may be a decade out, but that’s where we’re going,” says Fiocco of McKinsey.
Fragile fruits like strawberries and grapes pose a huge challenge. Tortuga, an agriculture tech startup in Denver, developed a robot to do the job. Tortuga was acquired in March by vertical farming company Oishii. The robot resembles NASA’s Mars Rover with fat tires and extended arms. It rolls along a bed of strawberries or grapes and uses a long pincher arm to reach into the vine and snip off a single berry or a bunch of grapes, placing them gingerly into a basket.
“Robotic harvesting can offer greater consistency and efficiency than manual labor, while reducing expenses and addressing the labor shortages affecting the industry as a whole,” Brendan Somerville, chief operating officer and co-founder of Oishii said in an email, adding that the company’s long-term vision is to fully automate its harvesting operations.
Israel-based Tevel Aerobotics Technologies aims to help fruit growers reduce the need for labor with its “Flying Autonomous Robots” that can prune, thin and harvest crops. Using AI and machine vision, the robots locate the fruit, determine whether it’s ripe and then pluck it off the tree.
I think that the reference to AI in the first passage is largely a red herring. What’s being discussed is more robotics than AI. IMO this is the right direction for the United States. There’s a future for the United States in agrorobotics. There is none in importing an unskilled manual labor force that is only financially viable with a reliable supply of new workers and you can offload the actual costs of your labor force, e.g. healthcare, education, safety, etc., onto someone else.
We should be leading the world in developments like this as we did with the steel plow, the combine harvester, etc. Unfortunately, we’re playing catch-up as this video illustrates:
What happened? If farm owners can make money without capital investment, they will and that’s what’s happened. BTW, IMO Deere is correct in its approach: encouraging farmers to become comfortable with the technology and ensuring they see immediate payoffs.
It’s nice that we will have viable fruit picking machines in 10 years. What were US farmers competing with farmers in the rest of the world for the last 50 years supposed to do until then?
Steve
Yes, steve, today’s investment results in progress tomorrow. The lesson from that is that we need to do more to encourage investment in preference to consumption. The technology being described was possible 20 years ago.
Maybe it was possible, I am dubious since I dont think the AI and robots was advanced enough then. If it was it would have been truly cutting edge and incredibly expensive. It would not have been affordable. So maybe if it was heavily subsidized we could have had it as an alternative to cheap labor that was more costly maybe 5-10 years ago and by now it would be cost effective though note that no one else has the fruit picking stuff. (Much different than say battery or solar panel tech where multiple countries have developed better and better products.) Still not sure what you would have expected farmers to do for the other 40 years.
Steve
Dave Schuler: I think that the reference to AI in the first passage is largely a red herring. What’s being discussed is more robotics than AI.
That’s like saying self-driving cars are just robotics. A machine navigating a field and picking out ripe fruit, a problem in three dimensions with varying shades of color, is a problem of AI; zapping weeds and knowing when and where to apply fertilizer and water is a problem of AI; an AI that learns and gets better with experience.
There’s so much misinformation in your remarks about artificial intelligence I barely know where to start.
“Artificial intelligence” has been a grab bag of strategies for doing particular tasks for the last 60 years at least. Pattern recognition stopped being considered part of artificial intelligence about 50 years ago. Vision systems stopped being considered part of artificial intelligence 30-40 years ago.
Today “artificial intelligence) is being used (improperly, I think) for just two things: generative AI and agentic AI which are closely related. That’s not all AI is but that’s how people use the term today.
The agrobots have been quite possible for decades. They don’t need gAI or aAI. But you can’t deploy them and minimize capital investment simultaneously. The prime objective for businesses in the U. S. for a couple of decades has been minimizing capital investment. In agriculture that has been abetted by importing a large number of low skill workers.
Dave Schuler: Pattern recognition stopped being considered part of artificial intelligence about 50 years ago.
Pattern recognition is a core component of artificial intelligence. It might be considered analogous to the optic nerve, which is hardly a simple machine, and is one capable of learning.
Are self-driving cars considered to be AI? If so, then navigating among apple trees, identifying ripe fruit, maneuvering the robot arm through the branches to pick the fruit—and learning from the process—is AI.