FIELDREVEAL LLC

Happy First Day of Spring! This is when all of our hard work from the winter starts to come to fruition. Enjoy the hustle and stay safe!

Not all data is created equally. The best time to set yourself up for excellent fall data is before you even get in the field. Learn more about setting up scientifically defensible trials with our Premier Crop Systems analytics.

This week we worked through some of the most common types of data we see customers use when creating composite maps. If you need help getting from individual data layers to one comprehensive zone map, we can get you there. FieldReveal has a patented process that brings the most accurate of these data layers together in one place under the supervision of data analysts and agronomists. This helps us build high accuracy zone maps for our ag retail customers. Learn more at fieldreveal.com

How do you decide which data to use when building prescriptions for your farm? We’re breaking down the different types of data used when building a composite map. Elevation is used to determine the areas of a field most affected by elevation differences through sources such as RTK, LiDAR and D.E.M. data. Some of the pros to using Elevation data include: -It allows you to understand the flow of water, nutrients, and topsoil erosion over time. -It can determine areas of ponding, water, nutrient holding capacity and topsoil. -It can show high sloping areas where there is a high potential for wash-out in season erosion. Some of the cons with elevation data include: -Depending on the accuracy of the data being used, the data can be shifted or not defined as well as other elevation sources. -Does not provide yield potential information in these areas. -Depending on the environment and geography, yield in these areas can be vastly different.

How do you decide which data to use when building prescriptions for your farm? We’re breaking down the pro and cons of the different types of data we see people use and what watchouts there might be when building a composite map. SSURGO soil layer does have some pros including: -Free data available through web soil survey and widely available across most acres. -It gives you a good general understanding of the soil texture and types that could be present in your fields. However, we find this data layer to often be inaccurate with cons including: -There are better ways to collect soil texture data such as EM or EC to show true field data more precisely. -Western Data was created by remote sensing with D.E.M. elevation that may cause inaccuracy. -These data layers are have been around for decades and do not represent any changes made to the field.

How do you decide which data to use when building prescriptions for your farm? We’re breaking down the pro and cons of the different types of data we see people use and what watchouts there might be when building a composite map. Yield Potential pertains to the measurement of plant vigor through the use of satellite imagery. Some of the pros for using satellite imagery include: -Widely available across every acre. -Shows yield potential and can help illustrate areas of late season yield loss. -Shows yield potential that can be normalized into a multi-year yield potential map to illustrate yield potential variability patterns across the field. -Can show the long-term patterns of a field and show changes over time to productivity. Some of the cons or watchouts include: -Does not show actual yield number (bushels/lbs). -Does not explain the discrepancy between yield potential and actual yield. -Cloud cover and smoke issues can limit the usable images per year. -Improperly geo-referencing the image on the field will cause issues since imagery could be shifted and potentially include areas outside the true field boundary. -Large database to sort through can be daunting and overwhelming.

How do you decide which data to use when building prescriptions for your farm? We’re breaking down the pro and cons of the different types of data we see people use and what watchouts there might be when building a composite map. Our first data layer is Yield Data. There are lots of pros, including: -It shows differences between yield potential and actual yield - raising the question on what happened to cause the difference. -Growers are involved in the collection of this data which leads to a higher desire to use this data to influence decisions. -Can be used to determine accuracy of RX maps and tweak for future years and gain knowledge of actual yield goals and nutrient removal rates. There are also some cons or watchouts when it comes to using yield data from your harvester: -Harvest loss from the combine can affect accurate values of yield produced. -Multiple combines that are not properly calibrated can cause issues with cleaning and calculating correct yield values. -Yield values can be influenced by speed, actual swath width vs header width, multiple day or different hybrids/varieties in one field, and calibration issues. -Header down switch not set showing end rows low values influencing final values.

How do you decide which data to use when building prescriptions for your farm? This week we’re breaking down the pro and cons of the different types of data we see people use and what watchouts there might be when building a composite map.

Simplify your map understanding with FieldReveal’s Standard Zones. This is how we break it down: Zones 1-3: Based on elevation and yield potential, these zones with higher-elevated areas will yield differently than lower areas. Zones 4-6: Lower yielding zone, featuring high/med/low soil electrical conductivity. Zones 7-9: Medium yielding zones, featuring high/med/low soil electrical conductivity. Zones 10-12: High yielding zones, featuring high/med/low soil electrical conductivity.

We’re excited to share our new partnership through McGregor Technology, with AgWorks and Premier Crop Systems. We have teamed up to build a comprehensive, next-generation spatial analytics system that leverages the power of our patented zone creation process. HighQ+ is an exciting, data-driven approach to farming, with trial tools that help us learn about your fields faster than ever, and analytics that help us communicate clear profit or loss for every input decision you make. Learn more about HighQ+ and our partners at https://lnkd.in/gsD8uhkK