Knowing the benchmark means knowing where to focus your efforts.
Validator shows yield, yield gap, and ROI potential in bushels and dollars, allowing growers to benchmark by percentile or bushels per acre. Management zones can be exported as KML or Shapefiles to share with agronomists and other advisors. This powerful tool is based on our proprietary 1.3B samples of yield, carefully collected across millions of acres and 26 states – as well as 20 years of detailed weather matched to the sample locations.
Data Visualizations show individual field performance against benchmarks.
HOW IT WORKS
Main Street Data leverages the power of data giant IBM, applying machine learning and human intelligence to massive amounts of weather and related data.
Access our proprietary data science through our web app, which allows you to view maps and download data. To view the standard SaaS agreement, click here.
Field Benchmarking Features
- Find each field’s trouble spots unrelated to soil quality
- Prioritize where to focus time and resources through auto-generated management zones
- Assess improvement effectiveness by comparing benchmark performance year to year
Field Benchmarking Benefits
- Take weather out of the performance equation
- Understand which fields have the best opportunities
- Analyze ROI on various improvement scenarios
What Drives the Field Benchmarking Model?
Meticulous data analysis produced by a unique data set, carefully curated and subjected to a superior level of quality assurance
Our subscriptions can be custom designed to meet the needs of your enterprise. To find out more about these agile solutions, contact one of our sales executives.
Tim Davis
V.P. AG MARKETS & BUSINESS DEVELOPMENT
Cooperatives, Grain Marketing Advisors, & Ethanol facilities
217.652.2612
EMAIL
Michael X. Feeney
V.P. GRAIN MARKETING & BUSINESS DEVELOPMENT
Traders, Risk Managers & Hedgers, Cooperatives
217.480.7563
EMAIL
Ag Data Science Done Right
The Main Street Data forecasting model leverages a massive amount of yield and weather data elements to identify and interpret causes, as well as measure, monitor, and forecast a wide variety of outcomes. This crop forecasting model is based on MSD’s proprietary Crop Stage approach, applying machine learning to billions of samples of yield and 10s of billions of field and weather-related data elements. The analytical interpretations derived from this powerful forecasting model are valuable to a wide range of users, including growers, traders, insurers, lenders, agronomists, and co-ops.
See How Human Intelligence is Transforming Data Science.
Data Elements Include:
- soil characteristics
- water holding capacity
- water availability at multiple depths
- trillions of historical weather data elements
- weather forecasts ranging from 15 days to 6 months
- 1.3B yield samples across 26 states
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Bringing Human Intelligence to Data Science in the Ag Space
Main Street Data
6701 W. 64th Street | Building 5, Suite 320 | Mission, KS 66202 | 816.533.7247