Data Analytics: Turning Insights into Action

Welcome to the third installment of our three-part blog series where we explore the world of data analytics and how it transforms information into actionable alerts for AGMRI users. In this blog, we’ll delve into the advanced algorithms that power our platform and highlight the alerts that help farmers make informed decisions for optimal crop management.

Leveraging Advanced Algorithms

At Intelinair, we’ve developed algorithms that take raw data, including new images, weather conditions, and more, and convert them into actionable insights. As soon as we receive remote-sensing flight data, our algorithms swing into action, evaluating fields from multiple angles to provide users with a comprehensive view of their crops.

The Power of Alerts

Alerts are the heart of AGMRI. These are events that hold significant value for users, helping them prioritize tasks and make informed decisions through the growing season. Our analytics algorithms break down complex data into meaningful pieces, highlighting the most critical events unfolding on the field. Let’s take a closer look at the alerts that are part of AGMRI.


Weed Map

The Weed Map alert is designed to assist farmers in prioritizing fields affected by weeds. Using high-resolution infrared imagery and advanced Deep Learning models, AGMRI analyzes weed presence and escapes. It generates a map that pinpoints areas where weeds may be a concern. If recent herbicide application data is available, users receive notifications about weed escape alerts, enabling timely herbicide planning.

Stand Assessment Map

This alert plays a crucial role in helping farmers make replant decisions early in the season. It identifies fields and areas within those fields that exhibit crop emergence issues. Stand assessment involves evaluating the plants that have emerged and assessing their overall health, providing valuable insights for early-season crop management.

Low Emergence Alert

If a significant portion of a field has not emerged, AGMRI generates a Low Emergence Alert. This alert serves as a prompt for farmers to prioritize fields for replanting, ensuring optimal crop development.

Crop Health Map

The Crop Health Map alert reveals areas with underperforming crops relative to the rest of the field. Potential causes for poor crop health may include nutrient deficiencies, pest pressure, or drought. AGMRI combines multispectral high-resolution images and weather data with advanced Deep Learning algorithms and agronomic logic to identify areas requiring extra attention.

Low Crop Health Alert

This alert is triggered when certain areas of the field underperform compared to historical field health data. Farmers are able to easily identify underperforming areas and make more informed management decisions.

Disease Alert

Early detection of disease pressure is crucial for effective disease management. AGMRI’s Disease Alert identifies areas susceptible to disease outbreaks, enabling farmers to plan for timely fungicide applications. This alert analyzes high-resolution images and recent weather data to spot potential disease-affected areas.

Nutrient Deficiency

This alert helps locate spots where plants display significant color changes, possibly due to nutrient deficiencies. AGMRI employs advanced Deep Learning models on high-resolution imagery to assist farmers in planning nutrient applications for the upcoming season. Users can sort fields by acres affected to prioritize nutrient planning efficiently.

NVision Ag Partnership

In 2023, Intelinair partnered with NVision Ag, a company specializing in nitrogen management based on remote sensing imagery. NVision Ag generates yield-loss maps, total yield-loss estimates, and N-rate control files using high-resolution remote sensing imagery. This information allows corn growers to pinpoint areas within their fields that require additional nitrogen fertilizer and those that do not. The results are accessible through the AGMRI user interface upon request.

Variable Dry Down

This alert identifies areas of the field that are maturing faster than the rest. It indicates that these areas will likely reach full physiological maturity within the month. Farmers should evaluate these areas to determine if early harvesting is necessary to prevent potential losses due to grain shattering or adverse weather conditions.


With these alerts, AGMRI users have access to valuable, real-time information to help them make informed decisions throughout the growing season. From weed management to nutrient applications and disease control, our platform offers a comprehensive suite of tools to enhance crop management and optimize yields.

If you have any questions or would like to explore AGMRI’s features further, please don’t hesitate to reach out. Thank you for joining us on this journey of agricultural innovation!

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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.