Bringing New Technology Faster and More Efficiently

Precision agriculture has created a multitude of ideas and services for more intensively farming the land. Current thought is to tie together as many of these ideas and services as possible in a systems approach, in order to maximize the profitability of each acre.

This means matching our recommendations to the unique needs of your fields. In doing this, we avoid relying on one product, software brand or technology tool like R7®, Climate FieldViewor Adapt-N. Each field requires a different tool or set of tools, and these tools may change from year to year.

NuWay Cooperative has a great deal of experience. We were known as innovators when we began offering precision ag services back in 1985, and we’ve always been on the leading edge of bringing new technology to growers faster and more efficiently than any other supplier in our market area.

We’ve also done a better job of gathered data through our precision ag services and using it to improve what we do for our customers the following year.

Data management and use is a hallmark of our precision ag services today. These services include:

  • Grid sampling
  • Script creation
  • Variable-rate applications and planting
  • Adapt-N nitrogen management
  • R7® Tool support
  • Climate FieldViewsupport
  • Technology Advantage data management
  • Soil EC/OMPH mapping

AgroMetrics – Field Systems Management

The identification, measurement and analysis of a field’s unique characteristics in order to actively manage each field individually, as a means to effectively maximize crop input and output efficiency, increasing overall grower profitability.

AgroMetrics System Components:

  • Intensive Geo-Referenced Soil Samples
    • Over time, a multitude of factors has created nutrient variability within each field, and no two fields are alike. Knowing the degree of nutrient variability within a field allows a grower to adjust nutrient application rates accordingly, and can increase profits by increasing yields, decreasing input expenses, or both.
    • Information gathered using this method of soil sampling can be used in recommendations for variable rate nutrients, manure management, seed placement, pH amendments, variable rate seeding, and more.
    • 2.5 acre grid resolution is recommended, however zone sampling techniques are also supported.  Geo‐referencing allows sample points to be revisited and monitored in future years.
  • VR Dry Fertilizer Prescriptions
    • Single rate applications over an entire field are simply inefficient because no matter what rate you choose, you will apply too much fertilizer in some areas and not enough fertilizer in other areas.
    • Variable soil nutrient levels within a field are most efficiently managed by targeting the right rate of fertilizer for each specific area within the field, using variable rate fertilizer application methods based on intensive soil sample results and variable yield goals derived from past production history.
  • Seed Placement
    • Hybrid characterization, accurate seed selection, and proper seed placement is paramount in maximizing potential yield output within a field. Executing the plan during planting is even more important.
    • Base Genetics, insect and disease traits, soil type, plant population, cropping system, and plant nutrition requirements all affect hybrid performance.  Understanding how each individual hybrid responds to each of these factors and then matching the right hybrid to the right environment increases the chances of success.
    • Hybrid placement directly influences other management strategies related to plant population and nutrient management, including nitrogen rates.
  • VR Planting Prescriptions
    • Similar to VR fertilizer, planting one population rate across an entire field is inefficient. Knowing where to cut populations back and where to push populations higher requires integration of many layers of information.  If done correctly, optimizing populations within a field can increase output at both ends of the yield spectrum.
    • An accurate and effective VR planting program should take multi‐year yield data, high resolution soil texture maps, variable productivity zones, hybrid characteristics, soil fertility, nutrient and pest management strategies, crop rotation, and grower comfort level into account.
  • VR Nitrogen Prescriptions – Powered by adapt-N
    • Every field is different with regards to soil dynamics and yield potential, and every growing season is different with regards to the weather environment. These variable factors especially affect nitrogen management and nitrogen use efficiency. Nitrogen needs to be managed individually by field, and season by season.
    • Adapt‐N is a nitrogen management tool that uses predictive analytics to forecast nitrogen needs during the growing season, and this model has demonstrated the ability to improve productivity and profitability, while reducing nitrogen losses to the environment.
    • Key factors such as variable crop yield goals, soil characteristics, hybrid requirements, and high resolution weather data are all integrated into the Adapt‐N nitrogen model, and variable rate applications are fully supported.
  • Soil Nitrate Testing
    • Soil Nitrate testing helps improve the agronomic efficiency of nitrogen applications and reduces the potential for water quality problems by providing insight on what should be the proper sidedress nitrogen rate applied for a given season.
    • For each field, a 12” pre‐sidedress soil nitrate test is taken at a preselected geo‐referenced point within the field in order to validate the virtual nitrate test in Adapt‐N. A single point calibration method will be used to make any adjustments, if necessary.
  • Crop Tissue Testing
    • Post emergence tissue testing at critical growth stages can pinpoint crop nutrient deficiencies by measuring what nutrients have entered the plant and reporting how effectively those nutrients are being utilized.
    • Identifying nutrient deficiencies allows growers to make adjustments before yield potential is diminished.
    • For each field, one composite tissue test will be taken in order to assist with in‐season nutrient management.
  • Technology Advantage Program
    • Digital data management is a key aspect in modern agriculture.  Collecting, processing, and utilizing digital data collected at the grower, farm, field, and sub‐field levels allows growers to increase profitability by making more accurate decisions and more efficient use of inputs.
    • Managing digital data also allows the anonymous aggregation of data collected from multiple growers, giving an individual the opportunity to benchmark their own operation in various aspects and compare it to other operations in the local area.
    • The Technology Advantage Program is a vital component that allows data integration across multiple platforms, helping growers use their own data to actively manage their operations, and allowing a field systems management approach.