By working together and anonymously contributing precision files on the FBN℠ network, farmers have created the the largest seed performance data set in the world. There are countless ways FBN members utilize the data- from finding the highest performing seeds for their soils, to checking how they performed compared to their peers, to optimizing their seeding rates.
To bring yet another FBN member benefit, we combined agronomic data (including soil type, seed variety performance and planting date) with weather and satellite imagery to create corn and soybean yield predictions!
These predictions are available for free to FBN members who have contributed the most recent year's planting files.*
As the season progresses, your predictions will become more accurate as more information via satellite imagery and the following weather variables becomes available:
- Solar Radiation
- Soil Temperature
- Soil Moisture
In addition, the model also calculates which growth stage the crop is in. This is significant since a weather variable might have a different impact on corn yield in different stages. For example, corn plants are more tolerant of flooding in the later stages than in the earlier stages.
Weather information is also supplemented by vegetation indices derived from satellite imagery. Specifically, information about EVI (Enhanced Vegetation Index) and NDVI (Normalized Difference Vegetation Index) is incorporated into the model.
If you're an FBN member, live in one of the following states (IL, IA, IN, ND, SD, MN, NE), and have contributed 2019 planting data, then you can access your report today! Sign into your account and navigate to the "My Reports" section of your account.
What Beta Participants Can Expect To See:
Every 15 days, FBN members will receive corn yield predictions for their entire farm (averaging all fields with corn planting data).
- 2 Week Trend - Difference between current estimated yield and the estimated yield 2 weeks ago.
- Track Since Planting - Track yield estimates throughout the entire season. The yield estimate range will shrink as the season progresses!
- 3 Scenarios Provided - Good, Average, Bad
Have a super star field? Or one that might need some help? Each week, members receive updated yield estimates for all of their individual corn fields with planting data!
Frequently Asked Questions:
Why did I not receive the yield prediction report?
*This report was generated only for famers from Illinois, Iowa, Indiana, North Dakota, South Dakota, Minnesota and Nebraska who submitted corn or soybean 2019 precision planting data. If you fulfill the above conditions and still have not received the report, please get in touch with us at email@example.com.
Why are the yield estimates changing with time?
The estimates are updated based on imagery and weather information. As we get more data the yield estimates will change.
The estimates for some of my fields seems way off. What’s going on?
Many reasons could contribute to incorrect estimates, including:
1. Limited data for your varieties in your region
2. Incorrectly labeled crop or incorrectly labeled variety. It is very important that the variety names from your planting file are matched to approved varieties in your FBN account. If the varieties are not matched, then we cannot take into account the network performance of the varieties you planted. To update your varieties, please visit here.
We are still testing and improving this product, so if you see predictions that seem wrong to you, we’d greatly appreciate the feedback so that we can use it to improve the model in the future. Please let us know about feedback by submitting the form here.
Do you consider chemical applications in the model?
Application data is not yet incorporated in the model, but will be added in the future.
Can I get predictions for my other crops?
Not yet, but we certainly can add more crops in the future.
What is the source of the imagery data?
The imagery data is sourced from MODIS (https://modis.gsfc.nasa.gov/)
FBN members have access to a whole suite of useful tools for their farm's, including: