Enhancing Agricultural Decision-Making with AI: The AGMRI Advantage

In the world of modern agriculture, staying ahead of challenges and making informed decisions can often feel like a complex puzzle. Farmers, ag retailers, and stakeholders in the agricultural industry are no strangers to the unique hurdles posed by unpredictable weather conditions, in-season crop management, and ever-evolving field issues.

Questions abound: 

  • Which fields require immediate attention? 
  • What are the latest field-related concerns? 
  • Did the crops survive that late freeze? 
  • Do specific fields or portions of fields need replanting? 
  • Is there evidence of weed escape following herbicide application? 
  • Are there early signs of a potential disease outbreak? 
  • How can I effectively harness the potential of biologicals? 
  • And, crucially, how do I prioritize the myriad of fields demanding action? 
  • How can I make more informed nutrient decisions for the coming season?

At Intelinair, we understand the gravity of these questions and the critical importance of timely, data-driven answers. That’s why we’ve developed a groundbreaking, proprietary AI-powered platform to provide farmers and retailers with accurate, real-time insights into field conditions. Our AGMRI platform equips you with the knowledge needed to make informed, timely decisions regarding crop management, fertilizer application, weed management, and other aspects of crop production.

The Power of AI in Agriculture

AGMRI harnesses the vast potential of cutting-edge technology. By leveraging vast volumes of high-resolution imagery and comprehensive weather data, we go beyond the surface to detect subtle changes in crop health. We identify potential issues such as nutrient deficiencies or disease outbreaks with unparalleled precision and even predict future yield potential.

Imagine having a digital assistant that continuously monitors your fields, providing you with actionable insights and warnings in real time. That’s the power of our AI platform, and it’s changing the game for agriculture.

Exploring the Inner Workings

In this blog series, we’ll take you behind the scenes in AGMRI. We’ll break down the main concepts and elements the platform operates on, giving you a glimpse of how these algorithms work and the data they rely on. So, the next time you receive an alert from Intelinair, you’ll have a deeper understanding of what’s happening “under the hood.”

Coming Up Next

In our upcoming blog, The Data that Drives Insights, we’ll delve into the types of data that fuel our advanced analytics and inform our machine learning models. Stay tuned for a comprehensive exploration of the data that underpins the intelligence of our platform. If you are interested in learn more, feel free to Contact Us.

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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.