AGMRI Identifies and Helps Diagnose Crop Health Issue Caused by Residue

In late May-early June, AGMRI field health analytics raised concerns about the performance disparity between the east and west ends of a cornfield in Illinois. The grower initially doubted these findings, as the east end had better soil quality with manure application and a higher total nitrogen content. Even the Climate FieldView™ data indicated that the east side was superior.


Upon inspection of the June 8 crop health map, a significant issue was identified on the east end – strips of low crop health were observed. In the field, the strips of low crop health observed in the imagery on the east side of the field showed a significant difference in height when compared to the strips that had higher crop health, despite being at the same growth stage. It was also noticed that heavy residue was concentrated in these low-health areas.

An analysis using AGMRI correlated these strips with the previous year’s harvest map, revealing that the residue spreader had not distributed the residue far enough.

Despite two passes with tillage equipment, thick mats of residue persisted, adversely affecting the current year’s crop. This issue was more pronounced on the east side due to the typically higher yields in that area, resulting in more biomass that needed to be spread.

The grower made two decisions based on his observations. He decided to address this issue by applying 28% nitrogen to expedite residue breakdown and help the lagging crop catch up due to residue interference. Additionally, equipment changes were planned, including a change to the spreader, based on the observation of similar issues on other fields. The grower believes these measures will mitigate yield losses caused by inadequate residue spreading in the future.

Following these interventions, the east end of the field showed remarkable improvement and began outperforming the west end. The residue streaks previously evident on the east side began to disappear. The grower credited AGMRI for uncovering and addressing this issue. Without AGMRI, it would have been challenging to identify the problem’s root cause and its connection to the poor residue spreading pattern. Not only did the grower protect yield potential in this specific field, but the experience also influenced other management decisions to improve yield. AGMRI’s role in this successful intervention highlights its significance in elevating management decisions to optimize yields.


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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.