AGMRI BRINGS
DATA TO LIFE

See issues before
they are problems

AGMRI FEATURES

The team at AGMRI has developed features with real-life applications in mind.

AGRONOMIC FIELD INSIGHTS & ANALYZE

AGMRI Analyze Chart Transparent

Click on the titles of the agronomic insights and alerts to learn more.

Tap on the titles of the agronomic insights and alerts to learn more.

Agronomic insights & alerts

What it does

How it helps

AGMRI FULL-SEASON PACKAGE - emergence

Emergence

Identifies the best stand and compares that zone to the rest of the field to provide a relative map of estimated emergence.

• Identify and quantify emergence differences for Tillage Practices, Hybrids and Varieties, and Planter Practices. Examine factors such as downforce, speed, and more, in order to make farm improvements.

• Identify fields that need replanted, guide operators for replanting, and quantify acres for seed.

AGMRI FULL-SEASON PACKAGE - weed-pressure

Weed pressure

Identify which fields and areas have weeds and receive alerts about fields where weeds might be affecting yield.

• Identify fields that may need resprayed.

• Prioritize applications based on weed pressure.

• Create and export prescription zones to make data-driven application decisions.

AGMRI FULL-SEASON PACKAGE - crop-stress

Crop stress

Get a complete view of your farms and fields to see where crops may be stressed from various factors.

• Identify and quantify stress across fields to deter- mine if it would be beneficial to take action to correct them.

• Quantify the yield impact due to differences in crop stress between products and practices to make farm improvements.

AGMRI FULL-SEASON PACKAGE - nutrient-deficiency

Nutrient deficiency

This analytic identifies fields and specific areas within fields where nutrient deficiencies are present, enabling timely intervention before grain fill.

• Identify and quantify yield impact of nutrient deficien- cies to determine if taking action would be beneficial.

• Quantify the yield impact due to differences in nutrient deficiency between products and practices to make farm improvements.

• Create and export prescription zones to make data-driven application decisions.

AGMRI FULL-SEASON PACKAGE - disease

Disease

Uses thermal imagery, combined with weather pattern analysis, to alert for early crop stress detection.

• Identify and understand fields that may benefit from a fungicide application.

• Quantify the potential yield impact due to issues with disease risk.

AGMRI FULL-SEASON PACKAGE - yield-forecast

Yield forecast

Gain insights into yield performance for both corn and soybean fields based on the current condition of the crops, and as the season advances, monitor factors that may influence yield potential.

• Have a better understanding of your production earlier in the season to inform agronomic, marketing, and logistics decisions.

• Understand the yield variance across a field to quantify the impact of issues found with AGMRI.

• Identify fields with lower forecasted yield and take action where needed.

ADD ONS

AGMRI FULL-SEASON PACKAGE - NVision-yield-loss

NVision yield loss

Developed from years of Nitrogen research at the University of Missouri, the corn Yield Loss analytic, powered by NVision Ag, gives insight into potential yield loss due to Nitrogen deficiency and create prescriptions.

• Identify fields with potential yield loss due to nitrogen deficiency.

• Take direct action by creating prescriptions when necessary.

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FEATURED INTEGRATIONS

Get the most value from our data analytics when connected with farm management systems or platforms.

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

833-692-4674

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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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