FREQUENTLY
ASKED QUESTIONS

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LOOKING FOR MORE INFORMATION?

Here are some frequently asked questions about AGMRI.

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Intelinair offers a subscription for AGMRI aerial imagery sourced from High-Resolution Satellite, Drone or Fixed Wing Airplane. Resolution for High-Resolution Satellite will range from 50 cm to 150 cm (20 in to 60 in) and Drone and Fixed Wing Airplane will be <= 15 cm (6 in). AGMRI subscribers can expect multiple imagery captures during the crop season from early spring through early September.

 

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The subscription includes an account on the AGMRI iPhone and desktop app, and access to multiple imagery layers, scouting tools, and standard analytics/alerts for imagery type. Check out our AGMRI offerings to learn more.

Add ons: AGMRI subscribers can receive Nitrogen insights during the season.

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Depending on customer need, imagery can be sourced from anywhere in the United States and several other countries. Contact an Intelinair representative, or email sales@intelinair.com to inquire about geographical flight options.
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To sign up for an AGMRI account and receive aerial imagery, please contact your local AGMRI representative. With them, you will complete a subscription order form and provide field boundaries. Once the form is completed, you will receive your login credentials. If you need to be connected with a representative, please contact us at sales@intelinair.com.

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There are several videos available in our AGMRI Resource Center that explain how to get started, as well as other common features. In the Info Center you can also find common use cases explaining how to use AGMRI to visualize your field and take action during the growing season.

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Contact sales@intelinair.com, and we will connect you with an AGMRI representative.

Interested in a demo?

Reach out to us for more information or to schedule a demo.

833-692-4674

Yield Forecast

Understand where your corn yield is based on the current state of the crop. As the season unfolds, see how it is having an impact on your final yield.

Yield Loss

Powered by years of Nitrogen research at the University of Missouri, our corn Yield Loss analytic, powered by NVision Ag, gives insight into potential yield loss due to Nitrogen deficiency. Optional analytic for nitrogen management.

Variable Dry Down

variable dry down

Understand which fields and which areas of the field are drying down to help plan your harvest logistics.

Underperforming Area

low crop health

Not all areas of your fields perform the same and low NDVI doesn’t necessarily mean there is anything you can do to fix it this year. Underperforming Area alerts you to the fields and areas of the fields that are performing below their historical potential. This will allow you to quickly find those fields and areas and make adjustments to get them back on target and protect yield.

Nutrient Deficiency

nutrient deficiency

As the crop grows, it can tell us more of what is wrong with it. This analytic finds the fields and areas of the fields where there is a nutrient deficiency so that issues can be addressed before grain fill.

Disease Stress

disease risk

In conjunction with the Thermal Stress, Disease Stress alert takes into account weather information to more precisely indicate the type of stress impacting the crop.

Thermal Stress

thermal risk

Using our thermal imagery, AGMRI can detect elevated heat patterns of the crop that indicate crop stress.

Crop Health

Crop Health

Get a complete view of your farms and fields and identify where yield potential is ranked highest to the lowest.

Weed Map & Weed Escape

weed escape

Know what fields and areas of the fields have weeds. With machine integration or based on planting date, be alerted to what fields have weeds that may be impacting yield.

Historical Field Performance

AGMRI creates 5 performance zones in each field based on the historical average of those zones. This data is used to compare the current season to help understand where you are underperforming from the zone potential.

Low Emergence

low emergence

Notification of what fields and areas of the field have poor emergence.

Stand Assessment

strand assessment

AGMRI detects the established rows and uses computer vision and machine learning to determine the best segment of row and compares the rest of the field to that segment to give you a relative map. If machine data is integrated, a stand population map is returned.

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