Use the Power of AI to
Turn Land Observation into Business Intelligence
What We Do
Verification of Sustainability Practices in Cropland
- Cover Crop
- No-till
- Soil Cover
- Crop Rotation
Gain insights into Supply-Chain of Grains
- Crop Type
- Seeded acres
- Yield
Change Detection in Land Cover and Land Use
- Urbanization
- Forest/Pasture to Farmland
- Tree loss
We Partnered with
How We Do It
We use a combination of optical and microwave imageries as the raw data
The processed satellite images are fed to our ML models and make predictions against our ground truth datasets
Our approach is based on expertise of a team of plant science, remote sensing, and soil science PhDs
With robust statistical tools, we examine reliability of model outputs against stratified sampling
Latest post
Insight
Regenerative agriculture is a holistic approach with principals like minimizing soil disturbance, increasing crop diversity, covering soil surface, and grazing animals on the land. In
Improvement and availability of satellite imagery in recent years (better spatial, temporal and spectral resolutions) took applicability of remote sensing in precision farming to a
On November 2021, Grain Data Solutions had a press interview with Ontario Grain Farmer Magazine around application of AI and remote sensing in agriculture.
