8 Ways to Analyze your Crop Using Crop Insights

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Use FluroSense insights to make sense of your data.

Published:

January 7, 2021

Contributors

Manal Elarab, PhD

Chief Operating Officer

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https://www.regrow.ag/post/8-ways-to-use-flurosense-insights-to-make-sense-of-2020-data

Note: In 2021, FluroSat and soil health startup Dagan combined forces to become Regrow. Up-to-date information about the Regrow platform can be found on regrow.ag.

1. Using Crop Stress to identify specific problems

You can use insights to make sense of last season's data. Check out your crop stress detection history on your cornfields to identify any persistent corn rootworm problem areas and make adjustments to your spraying routine for this upcoming year.

In this example, a pest has been detected on one field of this farm. Using Crop Insights, you can determine where stress is detected as well as the threat level that the stressor indicates.

2. Don't let weather bring you down

This season in the corn-belt, harvesting was greatly impacted by the derecho storm. Harvesters were able to salvage corn crops by using sampling points to evaluate areas of the field that fared better in the storm and continued to track performance. The same method can be used in 2021 to track damage and salvage crops after bad weather.

Using the NDVI chart function, harvesters were able to track performance before and after the derecho storm. This gives users the ability to determine which areas can be harvested, compared to the areas that cannot be salvaged.

3. Assess trial outcomes

You can also take a look back at your N-strips on your wheat fields to make more informed decisions for your 2021 nutrition program! By looking back at this data you will be able to determine which treatment worked best and which did not work as well.

Using CCCI charts, users can efficiently determine which treatment was most effective on their farm. In this example, the user was able to see an increase in nitrogen in this particular field which was measured through Chlorophyll levels in the crops.

4. Address drainage issues

As the season's end nears, it is time to decide where to address field drainage issues. Make sure that your recommendations are based on data! Look at Crop Stress reports after heavy rains for areas where water ponding caused damage.

Crop Insights is able to detect heavy rainfall patterns and the damage done by those storms. It is important to look at data collected after severe storms in order to determine field areas that should be better prepared to weather the 2021 season.

5. Analyze cover crop performance

You can use the Crop Biomass attribute to compare which cover crop mixes have had the best field cover in past seasons. Use this data to make more informed decisions in your next growingseason.

The Biomass NDVI function allows users to understand which fields have high, medium, or low vigor. This is important because it indicates functional field cover, and is a useful baseline for the 2021 season.

6. Determine soil sampling zones

Were you capturing variability in your soil sampling grid this season? Look back at your field variability and productivity zones to determine sampling points on your farms and fields.

Crop Performance Reports are able to deliver high-quality insights into your workflow. Looking at your field variability and management zones will help you to determine optimal sampling points for the upcoming season.

7. Determine if you need a fall herbicide

Should you consider a fall herbicide program next year? Look back at crop stress alerts on your soybean fields to identify weed pockets in May-early June.

Using Crop Insights, users can look back at crop stress alerts on individual fields in order to identify areas that may need a fall herbicide in 2021. This function allows for data-driven fall herbicide decisions to be made.

8. Look back at emergence issues

For our customers harvesting grain - take a look back at early season Crop Performance Reports to check for emergence issues on your fields. Use Crop Insights to make sense of yield data.