Dan Frieberg

Premier Crop Systems

Dan Frieberg is CEO of Premier Crop Systems, LLC a crop data-analysis company based in West Des Moines, Iowa. For more information on Premier Crop Systems or data-driven decisions, visit www.premiercrop.com. Premier Crop Systems will push you to dig more deeply into your field data and find just how much power lies in the information layers that hide within your acres.

Mind the gap: Quality ag data analysis relies on quality ag data

Quality data analysis relies on quality data. And quality data requires hard work and attention to detail. Even though we can use technology to make the timing gap smaller, we all must still “mind the data quality gap.”

Who owns agriculture data and knowledge?

Recently there have been headlines about agreements between the industry and farm groups on data ownership and privacy. That’s positive. But it’s really not surprising that a company would agree that you own your data and that it will be returned or removed from their servers. Or that you will be allowed to direct whom it gets shared with or sent to.

Real agronomic complexity

I’m a believer that agronomic common sense and real world observations tell us that avoiding doubles and poor seed spacing is critical to higher yields. But they are only a few staves in a very complex agronomic rain barrel and the $ signs flashing on the monitor screen are only real if proper seed placement is your lowest stave.

Data may reduce rent

Can you use your data to rank each field by profitability? Obviously it’s not as easy as the highest to lowest yielding, as cost of input and operations, as well as land costs, are major pieces to be considered.

Don’t farm averages 2

None of us can control or even predict all the curves that Mother Nature can throw our way. But using data from your fields opens the door for you to manage the crop production variables that are manageable.

Compare real benchmarks 2

The best benchmarking services don’t just tell you where you rank – but they tell you why. What does the data say you need to change to perform better or to keep doing to stay on top?

Data decisions: Use technology to verify company data  2

As companies line up to offer you solutions based on their proprietary algorithms that you adopt the same position as President Reagan did in negotiating arms treaties with the Former Soviet Union – “trust, but verify”. If a company tells you that their proprietary algorithm says you need 50 lbs. of additional N, use your technology to verify.

Data Decisions: Meaningful data analysis involves agronomic common sense, local expertise 2

“But how do I know if what I am seeing in my data analysis is real?” That’s a question that is not only appropriate but also healthy. For the last 15 years, as I’ve presented agronomic decision data analytics to growers and their advisors, I’ve cautioned that “correlation doesn’t always equal cause and effect,” says Dan Frieberg.

Data Decisions: Find profit in agronomic data 3

Let’s assume you are motivated to get started using your agronomic data to make decisions. What do you do next? Spring planting is hopefully only days or weeks away; what is possible? A great place to start using data to make decisions for the future is to gather all GPS data in an electronic form.

Data Decisions: Share your farm data?

Reality is we all share “our” data with other companies, either intentionally in exchange for a benefit or inadvertently because we wanted a cool “app,” and sometimes the tradeoffs are worth it. For me, the difference between consumer data sharing and sharing your geo-referenced agronomic data is profound.

Data Decisions: Compare apples to apples 3

It is easy in all data analysis to have “apples to oranges” comparisons and take data at surface value, but the key to good analysis is to keep digging deeper and deeper to get fair comparisons. Thus creating the most educated and profitable agronomic decisions.

Data Decisions: Group data analysis 1

Through data-sharing agreements, growers can confidentially and anonymously share their field and agricultural data to receive actionable intelligence from fields in their own local area.

Historical farming years offer new ways to learn from data 1

As some growers in the Midwest face yields below expectations, they’re finding new and different ways to learn from their data.

Data Decisions: Start simple with yield data 2

Every grower should have average yield data for each field. By looking at the yields per year for each field, you can easily pick out which fields fare better under specific conditions. And then you can ask and answer more questions and analyze your own corn yield data to help make decisions on your farm.

Build your nutrient data 1

In case you haven’t heard, there’s a target on your back! Our modern crop production system is on a collision course with the non-farming public that’s become more removed from farming with each generation. Many outside of agriculture, including regulators, associate high-yield crop production with being environmentally reckless.

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