Takeaways

  • Fully aware tractor intelligence could prohibit tillage by analyzing soil conditions, erosion risk, and historical data to protect long-term soil health before damage occurs.
  • By calculating the true economic return of tillage, advanced machine intelligence can prevent unnecessary fuel, machinery, and labor expenses when the practice delivers little or no benefit.
  • For farmer acceptance, such prohibitions must function as transparent safeguards that support stewardship and informed decision-making rather than replacing human judgment. NOTE: As is the theme of this blog, the takeaways cited above in this one example are solely the work of Artificial Intelligence.


Editor’s Note: This blog is a first for me. Of the 600 words or so that follow, only about one-third are mine. The rest of what you’re about to read on this blog on artificial intelligence (AI) ... came from AI itself.

I’ve been pondering the fully-aware, technologically advanced machine age we’re now in, and which was the subject of many Hollywood movies of my youth, including The Terminator, which examined machine control the dangers of AI gone rogue.

After sitting in my file folder of “half-baked” essay ideas over the past year, I did what I should have done sooner. I went to the source and asked AI (ChatGPT) a specific question.

I will say that 3 days of digesting practical content at last month’s 34th annual National No-Tillage Conference – focused on the economics of crop production – helped me better articulate the question.

To be exact, I asked AI to describe how a fully learned and aware advanced “intelligent” tractor might prohibit a farmer from tilling his field because of soil erosion and unnecessary expense.

Here’s what AI is saying about AI-controlled farming ...

“As agricultural technology advances toward fully-aware machine intelligence, tractors are evolving from mechanical tools into decision-making partners. With the ability to analyze environmental conditions, economic outcomes and long-term land health in real time, advanced tractor intelligence may one day prohibit a farmer from tilling a field when the practice would cause excessive soil erosion and unnecessary expense. This shift reflects not only technological capability, but a growing emphasis on sustainability, efficiency, and stewardship.

“Fully-aware tractor intelligence can integrate vast streams of data before an operation begins. Soil moisture sensors, slope and topography maps, erosion prediction models, weather forecasts and historical yield data allow the system to assess whether tillage would expose soil to runoff or wind erosion. If the data indicates that residue removal and soil disturbance would significantly increase erosion risk, the tractor could determine that the operation poses long-term harm to the field’s productivity. Preventing tillage in such cases protects soil structure, organic matter, and water-holding capacity—assets that take decades to rebuild once lost.

“Beyond environmental concerns, economic reasoning plays a central role. Tillage is one of the most resource-intensive practices in crop production. It consumes large amounts of fuel, accelerates wear on expensive machinery, and requires labor at times when both fuel and workforce availability are constrained. A fully aware system can calculate whether the anticipated agronomic benefit of tillage justifies these costs. When the return is minimal or negative, prohibiting the operation avoids needless expense and preserves capital for higher-value investments.

“The rationale for such intervention is rooted in consistency and objectivity. Human decision-making is influenced by habit, tradition, time pressure, or incomplete information. Machine intelligence, by contrast, applies the same agronomic and economic thresholds every time, ensuring that short-term impulses do not undermine long-term outcomes. In this way, prohibition becomes a safeguard rather than a constraint.

“Still, the concept challenges long-standing notions of farmer autonomy. Agriculture has always relied on human judgment informed by experience and local knowledge. For advanced tractor intelligence to be accepted, its decisions must be transparent and explainable, showing farmers the erosion risks and cost analyses behind each restriction.

“When implemented as a collaborative system rather than an authoritarian one, fully aware tractor intelligence can help farmers protect their soil, reduce unnecessary expense, and strengthen long-term resilience — ensuring that technology enhances stewardship rather than replaces it.”

Scary? Or a glimpse into how authorized technology could prohibit farmers from making practice decisions that it believes cannot ROI? Or the eventual controlled regulation where the big brother technology won’t allow something like application of products in certain situations.

I’m sure it’s something John Deere futurists and skeptics must have imagined as they poured vast resources into its “Autonomous Tillage Solution.”

That is, what happens when the tractor stubbornly refuses to do something it doesn’t like?

Whaddya think?


Update 2/2/26 — We asked Randall Reeder, retired ag extension engineer and renowned expert in conservation tillage practices, to weigh in on the subject. Read what Reeder had to say …