AgriAI · AI-Powered Olive Grove Monitoring
Early Detection. Faster Action. Lower Losses.
AI-powered monitoring for olive groves — drones, rovers and multispectral vision, working as one.
Multispectral
Multispectral Imaging
Edge AI
Real-Time AI Detection
24/7
Continuous Scan
The Solution
The Complete Integrated Solution for Grove Monitoring.
One platform, from canopy to console. Built around a single mission: catch what the human eye misses.
Multispectral Imaging
Beyond the visible, on every leaf.
Real-Time AI Detection
On-edge inference, second-level alerts.
Autonomous Drone + Rover
Air and ground, coordinated.
Instant Farmer Alerts
Actionable insights, straight to your phone.
Station-Based Deployment
Self-charging base, always on duty.
ROI without the hardware barrier.
The model
SaaS Subscription
One subscription. No hardware to buy, no integration headaches. Pay only for the intelligence.
What the subscription delivers
55%
Cost savings
vs. conventional monitoring
+50%
Recovered production
Earlier intervention
+22%
Premium price potential
Certified quality
24/7
Always Scanning.
Always Learning.
Continuous Scan
Drones and rovers cover the grove autonomously, day after day.
Complete Autonomy
The drone deploys, scans, and returns to its base station.
Self-Improving AI
Every scan trains a proprietary olive dataset.
Sensing
One Payload.
Everything the Eye Misses.
Multispectral, RGB and thermal sensing integrated into the same drone — engineered to see the disease before the symptom.
Multispectral
Beyond the visible: plant stress before it becomes a symptom.
RGB
The high-resolution visual reference, tree by tree.
Thermal
Water stress and canopy temperature.
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The Architecture
Built to Scan.
Scroll to disassemble the integrated solution. Three components, one purpose.
Drone
Lightweight composite airframe, sensing onboard
Ground Rover
Autonomous canopy inspection
Base Station
Self-charging dock + comms
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By the time you see them with the naked eye,
it's already too late.
Pests and diseases can destroy a whole harvest in weeks. AgriAI catches them days — sometimes weeks — before symptoms show. Every hour counts.
72h
average time before spread
€8.2k
average loss per untreated hectare
1/4
Italian olive trees at Xylella risk
Act now
Every day of delay is a harvest lost.
Workflow
From field scan
to farmer alert.
Continuous Tree Analysis
Drones and rovers collect high-resolution multispectral imagery.
Symptoms & Pest Detection
Edge AI models analyze every scan in real time.
Immediate Farmer Alerts
Alerts, heatmaps and recommendations straight to your app.
App + Dashboard
Wherever you are: in the field or in the office.
The same diagnoses on iPhone, Android and desktop. Real-time notifications, grove map, treatment recommendations.
dashboard.agriai.app
Grove · Puglia
Analysis Result
Peacock Eye
Spilocea oleagina · Sector B · 14 trees
Confidence
89%
Trees scanned
1,840
Active alerts
3
NDVI · week
0.74
About the disease
Recommended action
Recommended product
AquaBio Copper Plus
4 mL/L · apply in the morning · 2-week interval
dashboard.agriai.app — live on macOS, Windows and Linux
Analysis Result
Peacock Eye
Spilocea oleagina
Confidence level
LowDISEASE DIAGNOSIS
Peacock Eye
About the disease
Go-to-market
App first. Platform next. Olives first. Everything else after.
Product
App Launch
First product on market: AI diagnosis app for smartphone. Snap the leaf, get an answer in seconds, treatment recommendation.
Full Platform
Autonomous drones, ground rovers and base station. Continuous grove monitoring, integrated desktop dashboard.
Crop expansion
BeachheadOlives
2026 — Italy, Spain, Greece
Starting market: 800M trees in the Mediterranean.
ExpansionVineyards
2027 — Italy, France, Portugal
Geometric rows, high value density. Downy and powdery mildew are natural AI targets.
ExpansionAlmonds
2028 — California, Spain, Puglia
Fast-growing market. Water stress and Xylella require the same monitoring.
UN SDGs
Aligned with what matters.
AgriAI contributes directly to three United Nations Sustainable Development Goals.

UN SDG 02
Zero Hunger
Higher yields with fewer inputs.

UN SDG 12
Responsible Consumption
Less pesticide. Less water. Less waste.

UN SDG 13
Climate Action
Resilient groves for a warming Mediterranean.
The Team
Builders, agronomists, scientists.
A team combining software engineering, agronomy and machine learning applied to Mediterranean crops.

Riccardo Polli
CEO & Co-Founder

Maria Kafrouni
Agricultural Research Analyst

Fulvio Marelli
CTO & Co-Founder

Andrea Valentino
ML / AI Developer

Francesco Prospero
Founder assistant


Get Started.
See AgriAI live on your grove. Book a demo with our agronomy team.