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?
Topics: data analytics, management zones, trials, learning blocks, data driven decisions, nutrient removals
We can all probably think of a product, service, or brand we feel biased towards. Then think about how you make decisions on your farming operation. Do you have any bias on how different fields respond to a certain seed, fertilizer, or crop protection product? Allowing your bias to persuade field decisions can be very costly and frustrating. Your knowledge of your own farm is invaluable. Using farm analytics can enhance your decision making by removing or challenging the bias with objective analysis.
Topics: data analytics, Precision ag, data driven decisions, farm analytics, Farm Plan
It’s the time of year where growers are thinking about whether or not to spray fungicide. We sat down with Clint Sires and Pat Mai, our Partners from InSiteCDM, to discuss how they walk through the conversation with growers around applying fungicide.
Topics: data analytics, group data, data driven decisions, farm data, fungicide
To efficiently collect data on your farming operation, it’s important to have a good plan and keep notes as you go, collect in a timely manner, and verify that data matches what happened throughout the season. There are many data points that need to be collected, verified, and entered to get a full-scope picture of your operation for analytics purposes.
Topics: data analytics, data driven decisions, farm analytics
Every grower sets goals for their farming operation. Seeking high yields or decreasing costs of operation are commonly cited, but ultimately what every grower wants to know is whether or not each decision is profitable.
Topics: data analytics, Precision ag, farm analytics, Big Data
GPS technology has allowed growers to capture variability within a field – from yield to soils, fertility, pH, varieties, variable rate application and agronomic treatments. More than likely, you have accumulated binders full of color maps and hard drives full of files.
Topics: Farm technology, data analytics, Precision ag, farm analytics, Big Data
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.
Topics: data analytics, Precision ag, data driven decisions, yield efficiency, farm analytics, nutrient removals
"Data is valuable, but data in the hands of the right people with the right context is really, really valuable." - T.J. Masker
Topics: Farm technology, data analytics, Precision ag, Ag technology, yield analysis, variable rate, data visualization, farm analytics, Farm Plan
"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
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 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.
Topics: data analytics, Precision ag, trials, hybrid selection, data driven decisions, farm analytics, Big Data, nutrient removals