"We're all about tying the economics to the agronomics, which just means when we're adjusting nutrient rates and plant seeding rates and decisions about what we spend in different parts of the field, we're tying that out at the end of the year."
- Dan Frieberg
Topics: Farming, data analytics, Ag technology, cost per bushel, yield efficiency, economics, Big Data, farm data
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.
Topics: Enhanced learning blocks, data analytics, Precision ag, trials, learning blocks, hybrid selection, data driven decisions, farm analytics, Big Data, nutrient removals
"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.
Topics: Farm technology, data analytics, Precision ag, cost per bushel, soil health, data driven decisions, yield efficiency, farm analytics, nutrient removals, farm data
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.
Topics: data analytics, Precision ag, crop protection, trials, Farm Plan, nutrient removals
What Does a Year End Meeting Look Like with a Premier Crop Partner?
"We use SciMax Solutions, a Premier Crop partner,
to push everything we can
in order to get the best ROI
and try to do the best job that we can."
- Mike Myers, Waukee, IA
Topics: Farming, Farm technology, data analytics, Precision ag, crop protection, management zones, benchmarking, economics, farm analytics, Farm Plan, nutrient removals
"Part of the value of what they get in the Premier Crop program is being able to see beyond their own operations. A lot of times, hybrid and variety is the very first thing they look for."
Topics: Farm technology, data analytics, Precision ag, Ag technology, hybrid selection, group data, benchmarking, data driven decisions, seed selection, yield efficiency, farm analytics, Farm Plan
If I asked you if you had a budget, you would most likely tell me you did. If I asked you where you could skim your budget in order to save more for your child’s education, a new truck or a vacation, you most likely wouldn’t know where to start. I know I wouldn’t!
Topics: data analytics, Precision ag, yield analysis, data driven decisions, yield efficiency, farm finance, nutrient removals
"You're capable of using your yield monitor to measure,
do trials and check if your plan actually worked.
It's so much easier than it used to be." - Dan Frieberg
Topics: Farming, Farm technology, data analytics, yield efficiency, farm analytics
It’s hard to avoid hearing about the promise of “big data.” Thanks to Edward Snowden’s revelations, it is also easy to spin conspiracy theories. There are many big-data analytics examples cited, such as Amazon and Netflix. They suggest books and movies we may enjoy based on what we have “liked” in the past or what other people who seem similar to us like. Google, the National Security Agency and others evidentially collect data bout what we search, what and whom we email, and much more.
Topics: data analytics, group data, benchmarking
Several years ago, I had customers tell me we could grow our company a lot faster if we had something like their planter monitor that flashed the dollars being lost from poor singulation. We needed something visual on a display, changing as growers moved across their fields to get their attention. Something cool.
Topics: data analytics