Greg Rose, co-founder and vice president of product at IntelinAir, and Ivan Dozier, M.S., senior agronomist, IntelinAir, explore the past, present and future of aerial imagery for agriculture. They discuss the types of imagery available, pros and cons of the various collection methods and why automated analysis is a key component of the usability of aerial imagery.
Remote sensing provides a new way to measure crop performance
Multispectral lenses offer different perspectives
Ability to collect imagery at scale
Computer vision & machine learning
Combining imagery with data-driven analysis
Get to the decision quicker
Make in-season decisions to increase yield or reduce costs
Better understand factors that drive yield
Validate nutrient prescriptions, seed selection, management zones
What are different bands of light?
What your eyes see and what a normal camera can capture
These cameras capture imagery in the NIR range
These cameras measure infrared radiation
Capturing Aerial Imagery
Low spatial resolution
Actionability during the season is limited
Once canopy closes, management zones, yield prediction on large scale
Prices have plummeted
Getting easier to use
Can achieve high-res from flying right above the canopy
Fly on demand
Someone has to fly
Battery limitations, Line of sight flight a requirement
Licensing required/still a bit complex
Make sure camera is good
Can cover large acres
Supports expanded range of sensors
Becoming more affordable
Flights are on a schedule with lag time
Compared to a drone, resolution is limited
Can be areas with no coverage
“With no analytics or application, data can be overwhelming.”
Agronomic Insights & Examples
Able to get insights in the field early
What areas of the field are dry and ready?
What areas of the field are wet and need time to dry out?
Tile Line Evaluation
You can see bare tile lines and how they affect the crop and its emergence.
This map can help justify if a portion of the field needs to be tiled.
Can help make and guide replant decisions
Tracking herbicide applications: misses and resistance
Alert to N applicator error
Micronutrient deficiency in soybean
Japanese beetle feeding in field edges
Relating Aerial Imagery to Yield Impacting Factors
Control vs. compaction
Sampling to estimate yield
Insight into hybrid performance with change
Anomaly over Time vs. Yield
Example post-season analysis
Measuring in-season crop performance is critical to making better decisions.
This is getting easier as collection methods and sensors are improving.
The result—more and more data that becomes impossible to keep up with.
It is easy to get caught up in data collection and analysis, but this information needs to be packaged in a way that saves farmers time and money.
General information about Aeriel Imagery can be found here.
The Illinois Soybean Association (ISA) checkoff and membership programs represent more than 43,000 soybean farmers in Illinois. The checkoff funds market development and utilization efforts while the membership program supports the government relations interests of Illinois soybean farmers at the local, state, and national level, through the Illinois Soybean Growers (ISG). ISA upholds the interests of Illinois soybean producers through promotion, advocacy, and education with the vision of becoming a market leader in sustainable soybean production and profitability.