Meet Crop Tech Solutions
When Crop Tech Solutions came to us, they had a vision that was reshaping agriculture: help farmers optimize for profit, not just yield. They were telling farmers something the seed companies didn't want them to know: planting more seed doesn't always mean bigger yields—and bigger yields don't always mean bigger profits.
The Wrong Metric: Why More Seed Meant Less Profit
The seed companies came to founder Jim Aden’s farm every year with the same pitch: plant more seeds per acre to get better yields. When he was growing up, his dad planted at a seed rate of 15,000 every year. After Jim took over the farm, the seed company reps said it should be 20,000. The next year, 22,000. Then 25,000. By the time it hit 30,000, Jim wondered…
I’m not sure the extra seeds are making me more profit. More bushels? Maybe, but also more input costs. What if I just went back to what my dad did?
So he tried it. He planted fewer seeds. What he found: more bushels don't necessarily equal more profit.
The revelation was that seed companies weren't exactly lying. There was a measurable increase in yields. But yields are only one part of the equation. They were just optimizing for the wrong metric: yields, not farmers’ profit.
More seed meant more revenue for seed companies, not more profit for farmers. The problem is, by planting more seeds per acre, the plants become crowded. Each stalk gets less sun, less soil, and less room to grow. More stalks, yes, but less yield per stalk. In addition, farmers spent more on fertilizer, water, and diesel used during harvest. All those inputs shrank profits to levels lower than those from planting fewer seeds.
These revelations warranted more study.
So, Aden created Crop Tech Solutions to give farmers the analysis seed companies weren’t: which seeds actually perform best in which soils, and importantly, at which densities.
The data to optimize for farmer profits, not just for higher yields.
Now the question was: how do we analyze data across thousands of acres to support more farmers?
When we came in to help answer this question, Crop Tech’s process looked something like this:
- Manually collect zip files from half a dozen sources
- Drop zip files into a custom-built desktop app
- The Desktop app produces an Excel file
- Data Expert manually runs an analysis on the Excel file
This was a time-intensive process. That worked fine when Crop Tech was analyzing the founder’s farm and a handful of neighbors. But now they were servicing hundreds of fields across dozens of farms. Manually downloading and processing files per field and per season would take weeks or months to handle each year of data.
Through our work together, we helped Crop Tech Solutions:
- Automate the Manual Work
- Find the Right Data
- Rebuild for Scale
- Make the Data Usable and Readable
- And Solve the Biggest Company-Wide Bottlenecks
The result?
Crop Tech Solutions went from processing 30,000 working rows of data to 3 Billion (yes, with a B).
Crop Tech now ingests billions of rows of farm data across hundreds of farms, dozens of customers, multiple states, going back over 10 years. They can run reports in minutes that used to take weeks. They can re-import everything from scratch if they need to, without blowing their budget, and they can produce each planting file without the old labor-intensive, multi-step process.
And most importantly, they can successfully scale a service they already know farmers value without burning out their team.
Because at the end of the day, this was never about building tools.
It was about helping farmers and changing agriculture for the better.
If you want a deeper look at how we helped Crop Tech Solutions achieve this, download our latest case study.