Knowing the benchmark means knowing true performance.
GrowingScore benchmarks grower production by normalizing the influence of weather and other uncontrollable factors, to reveal the actual performance attributable to farming practices. By benchmarking grower production history, firms can highlight meaningful trends. When grower benchmarks are consistent, the result is lower risk and better outcomes.
Understand grower performance within the context of benchmarks.
While this grower’s actual production for 2014 looks low when compared to typical performance, it’s a relatively successful 60th percentile when contextualized with the other years’ 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.
- Subscription cost is $100 per farm, with field boundaries defined by the user
- 10-year benchmarks are included on corn & soybeans, for an unlimited number of fields within each farm
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.
What Drives the Score?
- Individual grower yields by field, crop, practice, and year
- Percentile benchmark scores for each grower
Risk Assessment Features
- Normalized production data without the influence of weather and other uncontrollable factors
- Grower benchmarking for superior risk assessment alongside peers
- Easily accessible and actionable data
Risk Management Benefits
- Develop risk profiles against benchmarks in addition to production history
- Normalize grower production for a true picture of consistent farming practices
- Apply new data set to existing actuarial data, to highlight trends
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.
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
Ag Insights
Knowing Better Means Knowing Sooner
Main Street Data Featured on BROWNFIELD Ag News — Bob McClure podcast
WEATHER-BASED FORECASTING SERVICE ESTIMATES CORN YIELD AT 183 As seen at BORNWFIELD August 11, 2020 By Ken Anderson Filed Under: Crops, Crops, News Several private firms are releasing their own crop yield estimates ahead of this Wednesday’s USDA production report....
Final crop yields can be dramatically affected by temperature and moisture – accounting for these factors, Main Street Data holds steady with 183.8 Bu/A corn forecast
Crop yields affected by temperature and moisture. As we exit the dog days of summer, crop yields begin to take their final shape. Corn, because it originated as a tropical grass in Mexico, can tolerate very high temperatures for short periods of time – especially if...
Main Street Data Featured in Michigan Farm News
Main Street Data indicates record-setting corn crop for 2020 season As seen on Michigan Farm News | August 10, 2020 The U.S. ag market will see record-setting 2020 corn yields of 183 bushels per acre, according to Main Street Data, the ag data science company with...
Bringing Human Intelligence to Data Science in the Ag Space
Main Street Data
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