Satellite-enabled Variable Rate Fertilization
SIITAg empowers farmers by giving them a more detailed insight into their field's nutrient status. We have developed a service using machine learning algorithms combined with satellite imagery to produce a variable nutrient map. Knowing where in the field plants lack in which nutrients, farmers can make profound and sound decisions on what and how much to fertilize.
A precise nutrient quantification, scaled on field-level, enable farmers to take the right decisions when applying fertilizer in variable rates.
We provide it as an API. It's simple, quick and scalable!
Calculate the optimal amount of fertilizer for healthy soil and plants "as much as necessary, as little as possible"
Easy to use and to adapt in daily works
Time and cost saving
Whole field results with only three sample pictures
No additional investments required
Coverage of all open fields
Ability to easily manage information from a large number of farmers
AI analysis and calibration with satellite image within a few minutes
Detailed information with accuracy degree
Compatibility with other software-based analysis
Digital product performance enhanced via SIITAg data
New & radically innovative product to gain first mover advantage
Proven use-cases facilitate adoption
Easy to integrate into own systems
Generate analysis specific to fertilization decision making