AI for agriculture, with agronomists in charge
OceanLab builds AI into crop and farm operations: reading satellite maps, flagging stressed fields and suggesting climate changes. The AI flags and suggests; agronomists and head growers decide. Every example below is a product we built.
OceanLab product builds
AI products we designed and built in this industry. Each one is a full case study with screens, scope and the rules it was built for.
Rwamera - Satellite Crop Monitoring with Cloud-Aware Field Maps and Agronomist Triage
Designed and built a clickable crop monitoring console for a Kigali agronomy advisory firm serving tea, maize and avocado growers: satellite index maps per field with cloud masked out, a queue of stress anomalies to triage, scouting photos with an advisory-only AI suggestion, and advice that cannot name an unregistered pesticide or reach a grower without senior approval.
Stacks - Vertical Farm Operations Platform with Human-Approved Climate Control
Designed and built a clickable operations platform for an indoor vertical farm in Dubai growing leafy greens, herbs and microgreens across 3 warehouses: room health against recipe bands, a farm map down to every rack and tray, setpoint suggestions that a head grower must approve, and a lot trace from seed lot to customer.
Where AI earns its place
Each use case names the builds that did it.
Crop monitoring
Satellite index maps per field with cloud masked out, so agronomists see real stress and not weather.
Stress triage
A queue of stress anomalies to work through, with scouting photos and an advisory-only AI suggestion.
Indoor climate control
Setpoint suggestions for rooms of leafy greens and herbs that a head grower must approve before anything changes.
Lot tracing
A trace from seed lot to customer, so a problem batch can be found fast.
What to plan for
The rules that shape AI in this industry. General information, not legal advice: check with your own counsel.
Advice, not orders
Only approved inputs
Know your data's licence
Food safety records
From one workflow to production
- 01
Pick the workflow
We start from one workflow your team wants off its plate and agree what a working result looks like.
- 02
Clickable AI prototype
Your team tries the flow on a clickable prototype before any production code is written.
- 03
Production build
We build the production version, with the approval steps and records your industry needs.
- 04
Launch and improve
It goes live in your team's hands, and we tune it as real work runs through it.
Priced either way, whichever suits the work: outcome-based, paid per milestone, or hourly at $30-50 depending on role and seniority. More on AI automation →
Questions teams ask
What can AI do for a farm or agronomy business?
Watch fields and rooms so people do not have to: map crop stress from satellite images, queue anomalies for an agronomist to triage, and suggest climate setpoints for an indoor farm. Each of these is a product OceanLab built.
Does the AI change anything on its own?
No. In our agriculture builds the AI suggests, and an agronomist or head grower approves before advice goes out or a setpoint changes.
How is it priced?
Either way, whichever suits the work: outcome-based, where you pay per milestone, or hourly at $30-50 depending on role and seniority.
Keep exploring
Are you an AI lab looking for human training or evaluation data? That is a separate offer, OceanLab Labs.
