As a farmer, you have so many decisions to make. It ranges from what inputs to use, when, at what rates, to what crops are the most profitable on different fields, to the logistics of how you'll plant, spray, harvest, till (or not) your fields. Not to mention the management of grain handling and storage and any employees you utilize. You're looking to build the most profitable business you can that is sustainable year over year.
The Importance of Yield Efficiency, Group Data, and Benchmarking
Topics: yield analysis, group data, benchmarking, data driven decisions, yield efficiency, farm data
Use Agronomic and Economic Data to Make Management Decisions
At this time of the year, it’s easy to feel like yields are largely a function of weather - temperature and rainfall. Over the years in hundreds of grower meetings, I’ve heard that sentiment repeatedly. If you are inclined to think that way, think about this scenario.
Topics: Farm technology, Precision ag, soil health, group data, data driven decisions, 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
Yield Efficiency at a Year-End Grower Meeting with SciMax Solutions
"I think people are really good looking at a 10,000-foot view, but when you dive deeper into the economics and profitability, that's where the rubber meets the road."
- Landon Aldinger, Farmer, Iowa Falls, IA
Topics: Farm technology, Precision ag, Ag technology, crop protection, management zones, group data, benchmarking, yield efficiency, economics, Big Data, farm data
"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
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