Log In
mobile-logo
Log In

FREQUENTLY
ASKED QUESTIONS

dots-horizontal

LOOKING FOR MORE INFORMATION?

Here are some frequently asked questions about AGMRI.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

Intelinair offers a subscription for AGMRI aerial imagery sourced from High-Resolution Satellite, Drone or Fixed Wing Airplane. Resolution for High-Resolution Satellite will range from 30 cm to 150 cm (12 in to 60 in) and Drone and Fixed Wing Airplane will be <= 15 cm (6 in). AGMRI subscribers can expect multiple imagery captures during the crop season from early spring through early September.

 

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
AGMRI offers two primary levels of subscription – Full Season Analytics and Crop Health. See full details of the offerings. Both subscriptions can be accessed through the web-based platform or through the iPhone app. Contact sales@intelinair.com for additional information.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
AGMRI is available in all 50 states and several other countries. Contact an Intelinair representative or email sales@intelinair.com to inquire about coverage in your area.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
Please get in touch with your local territory manager or email sales@intelinair.com. We’ll talk about your options and help you create an AGMRI account. Once your account is created, you will add your field boundaries through a third-party integration, loading shapefiles, or drawing fields. You will have the chance to review your boundaries and select which you wish to monitor before subscribing for the season. 
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
AGMRI is an intuitive platform that allows you to dive in and explore. Your territory manager will provide basic navigation tips and insights on how to make the most out of your subscription.  The AGMRI Resource Center contains videos, documents, use cases, and more to help you get started and learn how to use other common features.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
Contact sales@intelinair.com, and we will connect you with an AGMRI representative.

Technology

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

Technology is driving the industry into a more data-driven, efficient, and sustainable industry. Innovations such as precision farming, drones, AI, robotics, IoT sensors, and satellite imagery enable farmers to monitor crop and soil conditions in near-real time. These tools help optimize resource use and protect yield potential. Additionally, farmers can use the data to analyze their management practices to inform decision making, make comparisons and identify macro trends. This information can be used to guide the next year’s crop plan.

 

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

  • Higher yields through better monitoring and input management
  • Lower costs by optimizing fertilizer, crop protection products, and water usage
  • Risk reduction with weather forecasting and predictive analytics
  • Labor efficiency via automation and robotics
  • Improved response times to yield-impacting events or conditions
  • Evaluate and validate management practices

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

AI supports farmers by:

  • Flagging early indicators of disease, pests and nutrient stress from imagery
  • Forecasting yields with predictive models
  • Enabling precision operations (e.g., variable-rate seeding/applications) and informing autonomy on modern equipment
  • Enabling decision-making with insights from big data

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

Precision agriculture is a farming management strategy that uses technology to monitor, measure, and respond to field variability. It relies on GPS, sensors, AI, and data analytics to apply inputs like water, fertilizer, and pesticides precisely where and when they are needed.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

Drones equipped with multispectral and thermal cameras can:

  • Detect crop stress
  • Flag likely disease hotspots
  • Assess plant health
  • Map fields for precision input application

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

Ag tech employs a variety of sensors, such as soil probes, weather/environmental sensors, multispectral and/or thermal sensors, and more to measure soil moisture, nutrient levels, temperature, and plant health. This near-real-time data helps farmers adjust irrigation, fertilization, and planting, harvesting, and logistics schedules with high accuracy.

 

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

Satellite imagery provides insights into crop growth patterns, soil variability, and water use. NDVI (Normalized Difference Vegetation Index) maps available through many satellite imagery providers help monitor plant health and make informed management decisions.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

  • GPS-guided tractors
  • Soil moisture sensors
  • Variable rate technology (VRT) sprayers
  • Drones and UAVs
  • Remote sensing platforms
  • Smart irrigation systems

Crop Management & Sustainability

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

By enabling better input efficiency, early disease detection, optimized planting schedules, and improved soil management, ag tech helps maximize productivity per acre while reducing risks. Machine data analysis is also a key tool to inform management practices, such as determining optimum planting speed, assessing hybrid performance in a specific area, nutrient management schedules, and more. 

Data & AI in Agriculture

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

Farmers use a wide range of data—including weather forecasts, soil conditions, crop growth, machine performance, and yield data—to make more informed management decisions. Weather and soil data help them plan planting schedules, while crop growth data supports targeted input applications. Machine data from equipment such as tractors, planters, and harvesters provides insights into field operations, efficiency, and potential issues. Yield data collected during harvest allows farmers to evaluate the effectiveness of their management practices, compare performance across fields, and guide future management strategies. Together, these data sources enable farmers to optimize productivity and protect yield potential.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

Predictive analytics uses historical and near real-time data to forecast outcomes such as yield potential, pest outbreaks, or weather risks. Farmers use these insights to plan ahead and minimize losses.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

Machine learning models analyze field imagery and other data sources, such as weather, to estimate where disease risk and activity may occur This enables early treatment and prevents widespread crop damage.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

AI combines weather data, soil conditions, satellite imagery, and crop growth models to estimate yields.

Where does the data come from?
 Agricultural data is collected from a variety of sources that together provide a comprehensive view of field conditions and operations. Examples include:

  • Machine Data: Information gathered from equipment such as planters, combines, and tractors, often equipped with on-board GPS and sensors, to track field operations and performance.
  • Imagery: Multi-resolution images captured by planes, drones, or satellites to monitor crop health, detect issues, and assess variability across fields.
  • Soil Data: Detailed soil characteristics sourced from databases like the Soil Survey Geographic Database (SSURGO), which provide information on soil type, texture, drainage, and other key properties.
  • Weather Data: Local weather station data that offer insights into temperature, rainfall, humidity, and other conditions that affect crop growth and management decisions.
  • Web and Public Data: Publicly available online resources, including government datasets and research tools, that supplement on-farm data with broader regional or historical information.

Interested in a demo?

Contact Us

Reach out to us for more information or to schedule a demo.

833-692-4674

[pdf-embedder url=”https://www.intelinair.com/wp-content/uploads/2024/10/Topography-Layer.pdf”

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.

YOUR MESSAGE WAS SENT SUCCESSFULLY!

dots-horizontal

We have received your inquiry and we’ll be in touch with you soon. 

Thank you for contacting us.