Deployment
RHIC at Italy
RHIC (Robot of Human Inspired Cultivation) is an AI-powered robotic weeding platform that combines computer vision with real-time contextual AI to guide selective mechanical actuation. It removes weeds at the root level while preserving soil structure, eliminating the need for chemical herbicides. Designed for high-value vegetable crops, RHIC replaces up to 20 manual workers per day and is priced under $200,000.
RHIC by AgriPass · Unverified · Agricultural robots
RHIC unit running in Italy in partnership with FYELD Group. Launched with Steriltom, SATA, and Patto Pomodoro Piemonte growers. Focused on high-value vegetable crops.
Key facts
- Fleet size
- 3 units total (Italy, Georgia, California)
Safety record
No incidents on record for RHIC at Italy.
Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.
- Trust tier
- Unverifiedhow tiers work →
- Last updated
- 2026-08-19
- Model
- RHIC
- Company
- AgriPass
- Location
- Italy
- Status
- operational
- First seen
- 2025-01-01
- ID
00858536-783f-4c61-b778-95cf5fe02d45
Timeline
- Jan 2025First recordedRHIC first documented operating at Italy.
- Aug 2026Current status: operationalLatest recorded state. New status transitions append here as the deployment-status recorder produces them.
On the deployment map
RHIC operates in Italy. Explore the full verified map:
Sources (1)
- AgriPass targets labor gaps with AI-powered robotic weed pulling · https://agfundernews.com/agripass-on-ag-robotics-2-0-were-replicating-the-human-weeding-process-but-making-it-affordable-at-scale · 2025-01-01
Methodology: Unreviewed · 1 source (no primary) · last reviewed 2026-08-19
Verification posture
Unreviewed
Low confidence
Review state
Stable
Last reviewed 2026-08-19
Maturity + lifecycle
Maturity stage: commercial
Lifecycle: active
Architectural position
Cohort: agriculture
Sources by quality tier
- 1
- unclassified
- Unclassified source
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for RHIC at Italy.Common questions
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Machine-readable surfaces
- Markdown mirror: /deployments/rhic-italy.md
- JSON-LD: embedded in this page’s head
- REST API: /v1/robots/00858536-783f-4c61-b778-95cf5fe02d45
- Data documentation: /data
- Query this programmatically: Deploy MCP