About
RoboCare brings together engineers, data scientists and agronomists around a single question: what should the grower do, this week, on this field?
Founded in
2021
Our story
Four years in the field, season after season, with the same partner farms.
2021
First satellite monitoring trials on four partner olive groves in central Tunisia.
2022
Field mapping and vegetation indices went live.
2023
First IoT stations deployed and cereal crops added to the platform.
2024
Email, SMS and WhatsApp notifications in French and Arabic, with automatic escalation.
2025
Extension to citrus and greenhouse crops, and expansion into the MENA region.
Why we exist
Mission
Put satellite imagery, sensors and artificial intelligence within reach of a ten-hectare grower and a thousand-hectare estate alike, in their own language and on their own phone.
Vision
A Mediterranean agriculture that produces more with less water, because every decision rests on data rather than on habit.
Our approach
A method unchanged since 2021: start from an agronomic question, validate it in the field, and only industrialise what has held up for two seasons.
We never start from an available technology and look for a use for it. We start from a decision the farmer has to make this week — irrigate or wait, split the dose or not — and work back to the data able to answer it. Many attractive ideas do not survive that filter.
Four stages: agronomic framing with the farmer, a prototype on a sample of fields, confrontation with ground readings over a full season, then production release with a calibrated threshold. A model that has not faced the field does not leave the lab.
Remote sensing and multispectral image processing, machine learning on time series, low-power embedded electronics, and Mediterranean agronomy — olive growing, rain-fed field crops, citrus irrigated under saline constraint.
Our own contribution lies less in generic algorithms than in their local calibration: stress thresholds adapted to carbonate soils, indices corrected for row canopies, and models retrained each season with partner agronomists’ observations.
A team on site
Based in Sfax, among the farms it monitors — not four flight hours from the nearest olive tree.
Agronomy decides
Every threshold in the platform was discussed with an agronomist before being coded, and corrected after field confrontation.
In your language
Interface, reports and alerts in French, English and Arabic, with no degraded version for any of the three.
No hardware lock-in
Satellite is enough to start. You only buy sensors if your fields draw a demonstrated benefit from them.
Verifiable results
Every figure we publish comes from an identified farm, compared with its own baseline before monitoring.
Our commitment
We commit to three things, and accept being judged on them: a reply to any request within 48 working hours; no resale and no sharing of your data with third parties, under any circumstances; and honesty about the limits of our models. When a prediction is uncertain, the platform says so. An alert presented as certain that turns out to be wrong costs far more, in trust, than ten acknowledged uncertainties.
What guides us
A recommendation a farmer cannot act on tomorrow morning is worth nothing.
Every model is benchmarked against field readings before it goes into production.
French, English, Arabic: the platform and the alerts adapt — not the farmer.
Saving water and inputs is not a marketing option, it is the product.
Our team
Leadership, engineering and agronomy experts: fourteen people between Sfax and the field.
Ecosystem
Cooperatives, technology operators and research institutes.
Recognition
Awards and support programmes that backed our move to scale.
Ministry of Agriculture
Awarded for the satellite monitoring platform covering olive groves in central Tunisia.
Tunisian Startup Awards
Awarded for the measured impact on water consumption across partner farms.
MENA AgriTech Summit
Regional recognition for reducing inputs on cereal crops.
Support programmes
Smart Capital — a 6-month programme focused on regional scale-up.
GIZ — support for deploying IoT stations in semi-arid areas.
Republic of Tunisia — startup label and team structuring.
In the press
Articles, reports and interviews about RoboCare.
La Presse
African Manager
Watania 1
Le Manager
Express FM
Jeune Afrique
Downloads
Agronomic guides, white papers and platform documentation.
When to cut back without penalising fruit set, and how to read soil moisture thresholds.
PDF · 24 pagesThe visual cues to know before acting on an index reading.
PDF · 8 pagesMethod, datasets and limits of early stress detection at field scale.
PDF · 32 pagesWhat buyers and certification bodies ask for, and how to export it from the platform.
PDF · 18 pagesAccepted formats, expected coordinate system and post-import checks.
OnlineThe weekly report monitored farms receive, with annotated commentary.
PDF · 1.4 MBLet's work together
Farm, cooperative, institution or laboratory: write to us and we'll reply within 48 hours.
Let's talk about your fields
Create a free account or book a walkthrough with a RoboCare agronomist. We reply within 48 hours.
