Factores de rendimiento | Analizador de Campo Beta | John Deere

Many factors contribute to yield performance and understanding which ones are affecting your fields can help you prepare for the future. Field Analyzer Beta has the tools to help you identify those factors. Let's begin by looking at Field IL9 and compare the dry yield to our seeding prescription rates. As we can see, the majority of the field was planted at 35,000 seeds per acre shown here in purple. The next largest acreage was planted at 36,000 c acre shown in blue. As we look at the left half of the field on our yield map and then look at the same area on the prescription rate map, we can see that the increased yield appears to follow a very similar shape with the increased prescription rate. However, if we look towards the right half of the field that had the same 36,000 CPA prescription rate, we see that the same correlation is not true. We want to figure out why this difference occurred, so we will begin to look at other factors that may have caused this. Let's start by looking at our soil map. As we can see with the light blue sections of Osco silt loam, there aren't any major differences in soil type that would cause this yield difference. Next we will pull up our seeding quality map to show how accurately the planter was able to plant according to the prescription.