From the Virtual Terminal

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Everyone Agrees Autonomous Systems Have a Place in Agriculture. So Why Aren't They Finding One?

Autonomous agriculture companies optimize at the machine level. Better agronomy, resource efficiency, labor reduction. The farmer listening to that pitch optimizes at the farm level. Cost per acre. Cost per bushel. Depreciation, switching cost, downtime risk, parallel systems. Those are not the same calculation. This article is about the gap between them. And why closing it is the real adoption curve.
"Right now, when a startup approaches a dealer group about representing its autonomous platform, the agronomic case is usually compelling and the economics question is usually left to the customer to work out. That's the wrong order," says Graham Gleed, principal advisor at abcg.
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The Data Crop ... The New Value Chain Nobody in Ag Saw Coming

The combine harvests the grain. The elevator, the miller, the processor and the retailer take their margins. The farmer takes what's left. Agriculture has always worked this way. Now the same chain is forming around a new commodity — the verified record of how that grain was grown. The machines are already in the field producing it. Graham Gleed, Principal Advisor at abcg, asks who profits from the harvest.

A familiar chain in ag is forming around a new commodity — the verified record of how a crop was grown. The machines are already in the field producing it. Graham Gleed, Principal Advisor at abcg, asks who profits from the harvest.


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The Machine Already Knows ... Nobody Built the Layer to Use It

In his latest blog, Graham Gleed, principal advisor at abcg, says, "My phone understands what I need. My car knows where I am going. My health app tracks my body and tells me what to adjust. Then I climb into a million-dollar tractor with five onboard computers, satellite connectivity, a stack of data services, and it comes with a paper manual!"


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