The role calibrated imagery plays in your fertility ROI Using dirty data when trying to achieve optimum yield levels and maximum return on investment is like throwing a bunch of money into the wind. Imagine, standing in the middle of…
Active Versus Passive NDVI – the Difference is in the Data Bad data = bad everything. Let’s use building a house as an analogy. If we build the foundation before prepping the soil, we will eventually have a domino effect…
Using Zero Check Strips for In-Season Data as an Alternative to N-Rich Strips By now, many may have heard about using N-Rich Strips as a reference or check strip in a field. However, you may be scratching your head on…
Past Yield Data isn't an Accurate Prediction of Current Nitrogen Need Yield potential changes year-to-year due to temporal variability (rainfall, temperature, relative humidity, etc.). Since we can’t control the weather and yearly patterns can change dramatically, past yield data is…
Nitrogen rate and timing can make or break protein quality Protein is one of the many attributes that determine winter wheat end-use quality and marketability. Variety, nitrogen management and environment are a few factors that can significantly impact final grain…
N-Rich Strips – the easiest thing you can do to boost yield and manage nitrogen Nitrogen applications can be an emotional decision for farmers because there are few things they can control, but nitrogen is one thing they can control.…
Taking agronomic imagery to the next level If you're looking to amp up your imagery and fertility management program, then Ninja Ag can help. Ninja Ag's system takes normalized difference vegetation index (NDVI) readings from unmanned aircraft systems (UAS) or…