In the soil all season
Probes will remain in moist soil throughout the season and automatically transmit raw measurements.
Soil. Data. Decisions.
Understand the soil.
Farm with
greater precision.
We’re developing fixed probes buried in the soil and AI models to assess soil conditions and track changes throughout the season.
Explore the technologyQAZSPEC / Precision agricultureIn development
01 / Product
The probe collects signals.
Our AI helps interpret them.
Analysis by our AI
We’re developing models to estimate nitrogen, phosphorus, potassium and other soil properties from multiple sensor signals.
Track changes over time
Our goal is to reveal differences across a field and track changes in soil conditions throughout the season.
We plan to use two AI models: a local model for fast offline analysis and a server-based model for more detailed processing.
02 / AI training
We start
with real
soil.
We’ll train our models on archived dry soil samples and expand the training data with new samples from the field.
Archived soil samples
Dry soil samples with known laboratory results will help us study the relationship between sensor measurements and soil composition.
New field samples
We’re collecting samples across soil types and conditions to expand our training data.
Testing in field conditions
To develop the field model, we’ll pair probe measurements in wet soil with laboratory results from samples taken at the same locations.
Next stage
From soil data
to variable-rate fertilization.
We plan to develop field maps and software for agricultural equipment to tailor fertilizer application to the needs of each field zone.