From having worked with farmers, the actual logistics of running a farm are very complex. Farming's no longer an easy job because the demand for productivity means you have to harness a whole stable of technologies and understand to some degree advanced finances, floral biology, geotechnics, and meteorology. And yet farmers still get paid little relative to the breadth of knowledge and skills required for running a farm. It's just that farming is still considered a blue-collar job because it was the domain of the poorest for millenia, where as software engineering in any form is relatively new and thus specialized and so considered white-collar.
You're right, running now a farm that is profitable and can stay on the market is very different from doing so 200 years ago. But knowledge is just one aspect. The other aspect I mentioned is having less people in the field than what the market asks for. In the specific case of farmers, I think that modern farms are so much more efficient that we need way less than before, even if the world's population grew. So, while there's a gap between the knowledge required and the earnings, I think this can be explained by farms having a much greater output now, and so the market doesn't ask for more farms than what we have. This could be false at a global scale, but I think it is true at a country-level scale in most of the developed countries. Hence why farmers aren't paid much in those countries.
Farmers aren't really paid, they sell goods at market prices. Modern farms are more similar to operating a manufacturing business than they are to a salaried position or profession. They don't earn high incomes compared to white collar professions but they do have high revenues and they pay themselves a reasonable middle class income on average with some added benefits from owning large assets and land. The important part about comparing farmers to programmers is that they are both now operating in highly competitive markets with high automation where a single individual can leverage their knowledge and ability using that automation to produce many times more what a person could using only their own labor.
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