Digital Greenhouse
Project No.
EE-LV00045
Priority 2. Jointly and smartly growing businesses
Overview
Project partnership:
- Weiss Aiand Ltd. (Osaühing Weiss Aiand)
- Latvia University of Life Sciences and Technologies (Latvijas Biozinātņu un tehnoloģiju universitāte)
Duration: 01.09.2023 – 28.02.2026
Total budget: 383 960.00 EUR
ERDF contribution: 307 168.00 EUR
Contact person:
Aare Raev, [email protected]
Project Objective:
The project aims to develop a digital solution that provides real-time, AI-based irrigation recommendations, contributing to:
- More efficient and sustainable vegetable growing.
- Optimised use of natural resources.
- Increased energy efficiency in local food production in the EstLat region.
Key Activities:
- Development of an AI-driven irrigation and data analysis system.
- Creation of a data-gathering server using real-time sensor inputs.
- Implementation of a web application for data visualization and analysis.
Expected Results:
- Weiss Aiand will introduce an innovative process featuring:
- Machine learning-based irrigation recommendations.
- Optimized watering schedules for reduced resource consumption.
- A real-time data collection system integrated with sensors.
- A user-friendly web application for monitoring and analysis.
- Greater sustainability in local food production through improved irrigation efficiency.
Link to partners' websites:
Loomise kuupäev: 19.03.2025
