Robohub.org
 

No one’s going to take your tractor away


by
25 November 2008



share this:

Even if, between now and January, Congress were to get religion with regard to the benefits to be gained from applying robotics to the transformation of agriculture, and had a full-speed-ahead bill ready for the signature of our new President on the day he takes office, it would still take time for the effect to become evident on the landscape.

 

To begin with, while you can see the potential for it in what exists today, the technology largely remains to be developed, so figure five years of R&D and experimental installations before anything starts rolling off an assembly line, and probably another five to get the bugs out to the point where it’s really possible to let the machines run without some degree of supervision.

 

At that point, ten years hence, you might still have to drive twenty miles [two hundred?] to see one of the new machines in operation. Then, for at least another ten the story would be one of them becoming very gradually more common, as well as more sophisticated. Meanwhile there’s mouths to feed, hundreds of millions of them, and business as usual will necessarily continue.

 

At some point, maybe twenty-five or thirty years out, the size of the market for food cultivated by autonomous machines would surpass the size of the market for conventionally grown food, and at about that time I would expect to see several things happen. For one thing, the largest tractors would disappear from the market, as there would no longer be sufficient demand to justify their production. Also, a shakeout would begin among tractor and implement companies that hadn’t gotten into robotics themselves. On the other hand, the infrastructure for getting grain and produce to market could be expected to improve, under pressure from [and borrowing techniques from] robotic operations with their more diverse output and their ability to provide detailed information about what they would need to move how soon.

 

Some crops, however, would continue to be more economically produced by conventional methods. In particular, it would be difficult for generalized machines using horticultural methods to match the efficiency of traction-based monoculture in the production of small, dry-land grains – wheat, barley, oats, and rye. At least in the near term, the reduction in acreage dedicated to raising these crops by conventional methods would result not from direct robotic competition, but from the substitution of more fruits and vegetables in place of grains in the diets of both people and livestock.

 

Granted, with the advances in robotics that all of this activity would bring about, the tractors on the market then would likely also be capable of autonomous operation, although I’d expect to see a lot of hold-out farmers, using older equipment, still spending long hours driving their tractors, powered by synthetic fuels. Whether that practice will ever become as uncommon as farming with horses had become in 1960 is anyone’s guess.

 

Reposted from Cultibotics.



tags:


John Payne

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Sony AI table tennis robot outplays elite human players

  22 Apr 2026
New robot and AI system has beaten professional and elite table tennis players.

AI system learns to keep warehouse robot traffic running smoothly

  20 Apr 2026
This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.

Robot Talk Episode 152 – Dexterous robot hands, with Rich Walker

  17 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Rich Walker from Shadow Robot Company about their advanced robotic hands for research and industry.

What I’ve learned from 25 years of automated science, and what the future holds: an interview with Ross King

and   14 Apr 2026
Ross King created the first robot scientist back in 2009. He spoke to us about the nature of scientific discovery, the role AI has to play, and his recent work in DNA computing.

Robot Talk Episode 151 – Robots to study the ocean, with Simona Aracri

  10 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Simona Aracri from National Research Council of Italy about innovative robot designs for oceanography and environmental monitoring.

Generative AI improves a wireless vision system that sees through obstructions

  08 Apr 2026
With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.

Resource-constrained image generation and visual understanding: an interview with Aniket Roy

  07 Apr 2026
Aniket tells us about his research exploring how modern generative models can be adapted to operate efficiently while maintaining strong performance.

Back to school: robots learn from factory workers

  02 Apr 2026
A Czech startup is making factory automation easier by letting workers teach robots new tasks through simple demonstrations instead of complex coding.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence