Long Term Thinking Yields Dividends

It takes about 300 years to form 3/8 inch of soil in a mild climate. The soils we farm were formed over thousands of years, and if managed well that same soil will be around for generations to come.

Soil texture does not change; which is why Veris EC or Geonics EM38 soil mapping are typically one time operations. Good or bad we can expect to farm the same soil texture as long as we remain stewards of that land.

“Does it make sense to understand a resource that will be relied on for a lifetime?”

Both Veris EC and EM38 leverage the soils ability to conduct electricity. The soils conductivity is related to the particle size, soil moisture, and salt content. By measuring and mapping the differences in the electrical conductivity we can differentiate between soil textures, e.g. clay’s conductivity is higher than sands. Properly calibrated, these soil sensors are also capable of mapping variations in soil salinity.

The soil affects everything, from seed to fertilizer to herbicides. A one time investment in soil texture mapping gives a better understanding of the crops underlying resource. This information has the potential to yield dividends year in and year out because the layer has no expiration date.

Setting the Pace

New technologies are being introduced every day. A trend that will likely continue to pick up speed as we find more uses for layers like EC, and acquire new layers such as imagery.

EC & EM soil mapping both provide a consistent layer which can be used to create management zones for variable rate seeding, fertilizing, and irrigation. We have experience with these soil sensors and the expertise needed to incorporate them into your farming operation.

Precision Ag Services
Precision Pathfinder
Farm & Field Maps
Grid Sampling
UAS, Aerial, Satellite Imagery
Management Zones
Variable Rate Seeding
EC & EM Soil Mapping
Veris PH
Yield Analysis

Maximizing Input Efficiency

Options for variable rate application of seed, fertilizer, and water can be explored when producer / agronomists knowledge is combined with EC soil mapping. By optimizing the placement of inputs, the potential for a return on investment improves. The opposite can also be said. By not placing inputs in areas with poor soil, dollars can be saved or shifted to other locations. This also leads to a higher potential for a return.

Your Soil, Your Data, Your Choice

Simply put, the data collected is the clients. The variable rate prescriptions generated go where the client decides to send them. As an independent crop consulting company we make every effort to advance the clients objectives.

Knowledge Base

Soil Type and EC are not the same thing.

EC is a measure of the soils electrical conductivity. Sands have low EC numbers and clays have high EC numbers. Running EC on a field results in a map showing differences in soil textures.

Soil Type takes into account more than just the soil texture. So don’t expect the 2 to be exactly the same. EC and soil type both have strengths and weaknesses depending on the use.

On a broad scale, a visual comparison of EC and soil type typically show areas of similarity.

Zooming in though you will discover there are differences. EC measurements are captured at a finer scale than soil type, resulting in improved spatial detail. USDA order 2 soil surveys allow for 2.5 – 4 ac inclusions. Inclusions are small areas of differing soil that get swallowed up in larger groups of soil. The images above show potential inclusions and the differences between EC and soil type.

Basing variable rate prescriptions on soil type is a step in the right direction, but think of it as a starting point for your variable rate evolution. Long term, you’ll likely find it beneficial to improve the placement of inputs with the detail an EC or EM layer can provide. We’ve found the EC layer useful for variable rate seeding and fertility zones.

EC is collected at one point each second, at 10 MPH that is about one point every 15 ft. EM sleds collect more points per second than EC rigs, meaning you will have multiple points in the same 15 ft. That is a good thing, but not as important in determining the level of detail as swath width.

Swath width is the other factor that improves point distribution. The smaller the swath width, the more passes, the better the distribution.

Each of these images contain the same number of points. The difference is the swatch width. The smaller the swath width, the more you fill in the gaps between passes, the higher the detail. The result is a more robust layer for creating variable rate recommendations.