Delivering automated
crop intelligence




news headquarters



news employees



news crops

Corn and


news operations


key solutions

news key solution 1

AGMRI via web

news key solution 2

AGMRI via tablet

news key solution 3

AGMRI via iPhone

We deliver actionable and detailed crop intelligence all season long. We provide whole field views increasing efficiency by prioritizing fields and offering assurance that fields are monitored and reviewed for timely decision making to protect yield potential and identify sustainability opportunities. In short, we create efficiencies that creates value.


Our approach to problem solving is more than just delivering data. We bring the insight in a way that can be leveraged quickly and efficiently through our easy-to-use interactive platform AGMRI. We deliver analysis from before planting until harvest is complete. Analysis, machine learning, and computer vision are our expertise, and the benefit is insight delivered in a way that benefits growers and retailers.

Play Video about Intelinair homepage video overlay


Tim Hassinger

Tim Hassinger

CEO & President and Board Chairman

Robyn Heine

Robyn Heine

Vice President, Communications

Naira Hovakimyan

Naira Hovakimyan

PhD, Chief Scientific Officer and Co-Founder
Sriram Rapaka

Sriram “Ram” Rapaka

Vice President, Operations

Spring Xu Rouhana

Spring Xu Rouhana

Executive Vice President & Chief Financial Officer

Adrian Tudor

Adrian Tudor

Chief Product Officer

david wilson

David Wilson

SVP Engineering


Al Eisaian

Al Eisaian

Board Member and Co-founder

Tim Hassinger

Tim Hassinger

CEO & President and Board Chairman

Douglas Hirsh

Douglas Hirsh

Board Member

Kaye Reitzenstein

Kaye Reitzenstein

Board Member



Adapt N
airbus logo
Eiwa logo
climate fieldview logo
Hubner Industries
john deere operations center logo
leaf logo
nvisionag logo
solvi logo


AgTech Award

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.