AGMRI’s Key Role in Managing Weed Challenge


A central Indiana farmer growing field corn, seed corn, soybeans, and specialty crops including pumpkins. While he and his farm manager closely manage the high-priority seed corn, the other crops often take a lower priority. This ongoing time management challenge can make it easy to overlook weed escapes.

Midway through the season, the farm faced a significant weed management challenge due to exceptionally dry weather, which posed a particular threat to soybean yield.


Weed management, though considered a lower-level issue compared to weather-related challenges or diseases, became a pressing concern for this farmer. With the weather pattern being unusually dry, the farm struggled to control weeds effectively, even after applying herbicides. The herbicide’s limited effectiveness was attributed to the lack of moisture required to activate its residual properties. This presented a risk of yield loss for his soybean crop. However, the greater concern was the potential for these weeds to produce seeds, exacerbating the problem in the following growing season.

Keeping an eye on the progression from the June 7 smart alert showed the post application was not successful. Weed clusters continued to grow (as seen on June 17 map). The increased vegetation on the aerial and infrared map was enough to trigger a scouting visit. Upon investigation – grasses and waterhemp were growing aggressively.

AGMRI’s aerial and NDVI mapping alerted the farm to early weed pressure in the area, prompting further investigation in the impacted areas. The challenge was not only identifying the issue but also quantifying its extent during the busy season.


While this farmer had been using AGMRI primarily for tracking equipment improvements over the past two years, AGMRI played a crucial role in addressing the weed management challenge. It drew attention to the specific field with weed issues, leading to the deployment of a scout to gather timely information on resistant weeds. The timeline feature provided insights into when weed management efforts were unsuccessful throughout the season. Since late season weed pressure is tough to evaluate, measuring tools in AGMRI were used to quantify the acres affected. Using NDVI, poor reflectivity zones (red blotches) were identified where the crop should have been growing. These insights provided a better understanding of the potential yield loss.

To resolve the issue, the farmer decided to use a different herbicide to eliminate the remaining weeds effectively. Once the third application was made, the weeds were eliminated. Multiple captures by AGMRI revealed the late-season impact on the crop and, importantly, assured the grower that the weeds were eliminated before seeding.


Thanks to AGMRI, the farm implemented an additional herbicide pass, wiping out the remaining weeds. The benefits of this decision will manifest in the following season, with reduced weed pressure and likely a more successful soybean crop. Going forward, AGMRI will continue to play a vital role in managing weed pressure to prevent similar situations in the future, enhancing the farm’s overall productivity and profitability.


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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.