SolutionUpdated on 29 April 2026
AI-guided crop-season management for greenhouse vegetable operators
Founder at GreenLab
About
Core digital services:
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Real-time monitoring of soil and air conditions inside greenhouses (moisture, EC, temperature, humidity)
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AI recommendation engine with crop-specific protocols (tomato, cucumber, pepper, leafy greens)
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Growth-stage tracking with stage-aware advisory (germination -> flowering -> fruiting -> harvest)
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Verified protocols developed with the Agricultural University of Tirana
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Albanian + English; no dashboards or technical training required
Application to agrifood: Replaces generic threshold alerts with crop- and stage-specific guidance. Improves yield consistency, reduces input waste, and lets less experienced staff make expert-level decisions.
Partner sought: Greenhouse vegetable producers, cooperatives, and grower groups in the Mediterranean / Balkans wanting standardized production quality across sites or staff.
Type
- Artificial Intelligence for agriculture
- IoT & Smart Sensors
- Precision farming technologies
- Decision Support Systems (DSS)
- Farm management software
- Quality monitoring systems
Organisation
Tirana, Albania
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AI-driven precision irrigation for water-stressed Mediterranean farms
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Terri Prifti
Founder at GreenLab
Solution
Pesticide & EU compliance database with farm-level traceability
- Farm management software
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- Decision Support Systems (DSS)
- Sustainable production technologies
- Custom software development for agrifood
- Traceability & supply chain digitalisation
Terri Prifti
Founder at GreenLab
Solution
AI-Powered Modular Control System for Greenhouses & Open-Field Precision Agriculture
- IoT & Smart Sensors
- Robotics & Automation
- Smart irrigation systems
- Energy efficiency solutions
- Water management technologies
- Precision farming technologies
- Decision Support Systems (DSS)
- Data analytics & predictive modelling
- Artificial Intelligence for agriculture
Paolo Roncaglia
CEO at Tanit Horizon – Where Space Meets Soil