3 Ways to Start Utilizing Your Data

Posted by Dakota Clausen on 9/23/21 9:15 AM

Technology is great… when it works like it’s supposed to. Whether it’s your cell phone, computer or agriculture equipment, we’ve all had our fair share of battles with technology. Like it or not, technology isn’t going away. In fact, it’s going to continue to grow and become even more prevalent in our lives, even in agriculture. We see this every year in agriculture as we continue to add technology to our planters and combines. Monitors continue to become more complex, and tractors are driving themselves. So, where do we go from here? 

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Topics: data analytics, management zones, trials, learning blocks, data driven decisions, nutrient removals

Farm Analytics Show Valuable Insights

Posted by Katie McWhirter on 9/16/21 9:00 AM

I was meeting with a grower who asked the question, ‘Is the direction of Premier Crop going from a prescription company to an analytics company?’ My answer was: ‘Premier Crop has always been about analytics. We are not only a company known for analytics, but what to do with the information that is received within the data, in those analytics.

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Topics: Precision ag, yield analysis, variable rate, data driven decisions, nutrient removals

Get Started Using Your Farm Data

Posted by Katie Decker on 5/20/21 9:15 AM

At Premier Crop, we say that agronomy is local. Farmers say it too, though, because we have such a vast amount of data within our system.

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Topics: data analytics, Precision ag, data driven decisions, yield efficiency, farm analytics, nutrient removals

How Yield Efficiency Can Impact Your Operation

Posted by Dan Frieberg on 5/6/21 10:15 AM

"It's just putting data to work for you. You can drill down on which fields, and which parts of fields are most profitable, and which aren't. I think the more you help growers know their costs, the better managers they are." - Dan Frieberg

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Topics: Farm technology, Precision ag, crop protection, variable rate, data driven decisions, yield efficiency, economics, Farm Plan, nutrient removals, nitrogen

Nitrogen Strategies for your Fields

Posted by Mike Manning on 4/29/21 10:00 AM

"It convinces growers to spread those nitrogen pounds out over the course of the season or minimally making more than one application, and they see improved efficiency. We're talking about less pounds of nitrogen to produce a bushel of corn, and we generally see higher yields at the same time. So, it becomes a win-win." - Mike Manning

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Topics: Farm technology, Precision ag, crop protection, learning blocks, soil health, variable rate, economics, Farm Plan, nutrient removals, nitrogen

Six Frustrations with Precision ag

Posted by Katie McWhirter on 4/8/21 9:24 AM

"Growers tell me they are frustrated with precision ag, they've invested in the technology. I tell them, 'You just want to put the pieces of the puzzle together to see exactly what the picture is.’ And they are relieved when Premier Crop can help."

- Katie McWhirter, Director of Training and Development

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Topics: Farm technology, data analytics, Precision ag, Ag technology, yield analysis, variable rate, yield efficiency, data visualization, farm analytics, Big Data, Farm Plan, nutrient removals

Big Data With Local Context

Posted by Dan Frieberg on 4/1/21 11:15 AM

Big data is a phrase that has integrated this world of technology across industries. It's about capturing relevant data from a huge number of sources, and translating it into something that people can use. Big data provides actionable insights to solve problems at scale and at speed. In this world of ag, we have billions of dollars of venture capital funding pouring into agriculture through technology builds. Big data has been at the center of that.

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Topics: data analytics, Precision ag, trials, hybrid selection, data driven decisions, farm analytics, Big Data, nutrient removals

Three Steps to Combine Farm Agronomics and Economics

Posted by Matt Bowers on 3/18/21 9:15 AM

We often use the phrase, “Everything agronomic is economic.” What does that really mean? 

First, let's first define agronomics and economics. What is agronomics? That's everything that we do in the field related to making good management decisions. It's deciding how much fertilizer to apply and where to put it, planting rates, crop protection, tillage systems and how to incorporate all of this into the farm. Those all go into how we grow our crop. On the economics side, we’re talking about all of the money involved in farming. Farming is a business, and just like any other business, you need to make sure you have cash flow so you have the opportunity to farm again next year, and the year after that. So, how do we focus on agronomics and economics? We do that by analyzing growers’ data. We use that knowledge to help them make decisions on their farm. 

Knowing what you’ve done on the farm in the last five, 10, or 20 years can provide valuable knowledge as you plan into the future. However, if you never take that data and don't use it to make decisions, it's not doing you any good. It's important to invest time into collecting your farm data. We work with growers to analyze their collected field data. We add costs to the layers of data including product cost, operations cost, management cost if they have any land-specific cost, and tie that to the yield file so we can see what is making agronomic and economic sense on the farm.

It's fairly easy to tell where there are higher yields, but it's a lot harder to know if that yield increase also caused an increase in the pocket book. Did the decision pay for itself? Did you produce enough bushels to offset the cost of production? Every pass across the field matters agronomically, but it also has a cost associated with it. We give you three steps to help combine your farm agronomics and economics below. 

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Topics: Enhanced learning blocks, data analytics, Precision ag, trials, learning blocks, hybrid selection, data driven decisions, farm analytics, Big Data, nutrient removals

What Can You Do With Your Farm Data?

Posted by Lance Meyer on 2/11/21 10:15 AM

"We know there are dollars left on the table on every acre, it's just a matter of finding it with your farm data." - Lance Meyer, Kansas

LANCE MEYER: Hi, guys. My name is Lance Meyer. I'm an advisor here in eastern Kansas, actually located in the little town of Wellsville, just southwest of Kansas City. I've been with Premier Crop for about a year and a half now, and I work with growers kind of all over Kansas. I’m mainly focused here in east-central Kansas, but I get out west and up north a little bit, so kind of all over.

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Topics: Farm technology, data analytics, Precision ag, cost per bushel, soil health, data driven decisions, yield efficiency, farm analytics, nutrient removals, farm data

Improving Farm Efficiency with Nutrient Planning

Posted by Dan Frieberg on 2/4/21 10:00 AM

Our approach to nutrient planning is based on the fact that we want to allow our advisors, partners, and growers to get ahead when it comes to planning for the next crop season. Some advisors are having this conversation early, even before growers start combining in the fall. As we dial our focus on helping growers create a plan before the growing season begins, we look at several things. Using a spatial soil sample as one of the foundation pieces is a large part of what we do. A spatial soil sample could be a grid sample where the field is divided into smaller sizes, giving you a number of samples within a field, two-and-a-half-acre grids are common in most areas. In other areas where the field is divided into zones, zone sampling can be driven by soils, historic imagery, or EC conductivity. Instead of capturing one sample for an entire field, they're capturing more intense, site-specific samples. Layering all these samples into one computerized system and letting data science derive the factors for you helps, rather than trying to figure it out on your own in those frustrating excel sheets.

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Topics: data analytics, Precision ag, crop protection, trials, Farm Plan, nutrient removals

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Premier Crop Systems, based out of Des Moines, IA, started in 1999 to deliver better agronomic decisions through data analysis that lead to higher yields, increased profits and more sustainable practices for customers. 

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