AGRITECH — WE GROW
Advice from above, decisions on the ground.
Satellite and drone sensing, crop analytics and advisory — tied to the AI sector’s intelligence layer.
FROM ABOVE
Agri-Intelligence
Observation turned into advice.
A farmer’s hardest decisions — when to irrigate, when to treat, when to harvest — get easier with a clear view of the whole field. Agri-intelligence reads satellite and drone imagery and crop analytics and turns it into timely, field-level advice. The analytics run on the company’s AI layer — cited, not rebuilt for the field. Better decisions, less guesswork, more from the same land.
- Inputs
- satellite, drone and crop analytics
- Output
- timely, field-level advisory
- Runs on
- the company’s AI intelligence layer
BACKED BY AI ASSURANCE
Measured in the field, logged, then published.
When we publish a water-saving or yield figure, it is measured on real ground and backed by AI Assurance first — so what you read is the record, not the pitch.
THE HAND-OFFS
Where the field meets the rest of the company.
Two hand-offs make agritech part of one company rather than a side venture. The residue a farm leaves behind becomes dependable fuel through Energy’s compressed bio-gas, and the produce it saves reaches the market in grade on Lease cold logistics. Agri-intelligence reads the field on the same AI layer that runs the fleets. Specific exchanges, each one carrying value the next sector can use.
WHAT IT'S ALL FOR
More on the plate, and more in the farmer’s hand.
A farmer whose hardest decisions got a little easier, water that lasts the season, a harvest that reaches the market instead of being lost — livelihoods and dignity, food security felt as care for people.
COME GROW WHAT A NATION NEEDS
See the advisory on your own crop, this season.
For the farmers and FPOs a field pilot is built around, for state departments and agri-business, and for the capital behind it.
Momentum without end. Everything connected. Nothing wasted. Answerable at every turn.
Questions
Frequently asked
What does agri-intelligence do?
It reads satellite and drone imagery and crop analytics, then turns what it sees into timely, field-level advice — when to irrigate, when to treat, when to harvest. Better decisions, less guesswork, more from the same land.
How does the advice reach the farmer?
Satellite passes and drone flights build a current picture of the whole field, crop analytics read it for stress, vigour and timing, and it comes back as a plain call — irrigate here, treat there, harvest now.
Where do the analytics run?
The analytics run on the company's AI layer — the same intelligence that watches the fleets and the grid — rather than being re-built for the field.