Comment by MisterTea
10 hours ago
> But there's more to agtech than driving a tractor around, a lot of what these big integrated systems do (at the high end) is very data driven -- determining where and how to plant, irrigate, fertilize, etc.
How difficult is this to implement outside of big ag-tech? I feel that a community of experienced farmers and programmers (or programmer-farmers) could tackle this.
It really depends.
The bigger agcorps have tones of integration.
The machine, from tractor to combine and everything in between often feeds data together to produce a holistic understanding.
Things like - How much fuel was used - Where your tractors and sprayers drove - Soil samples and content - How and where every bit of chemical and fertilizer was applied - What weather hit your field - How much and and the moisture content of every bit of the field you harvested
It goes on an on.
> The bigger agcorps have tones of integration.
Yes, but how useful is the integration?
The sprayers/spreaders can be connected cheap computer to achieve most of what you describe.
I used to do literally that but in aircraft. Must be easier and cheaper in tractors
I think this has all suddenly shifted with high-quality programming AIs available. How difficult is this to implement with Claude?
Farmers would be foolish to rely on an LLM because farming margins are too low to makeup for even a small quick mistake. Many farms will profit 1% on investment over 1-2 decades, although year to year yield can vary 30%.
The software is certainly easier to build, but there's a lot of hardware involved here beyond the tractor. Claude is not necessarily going to make it easier to do soil sampling or measuring field conditions or yield outputs.