Vitis-IoTech

Vitis-IoTech: Intelligent Viticulture Based on IoT Technologies

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Vitis-IoTech is a multidisciplinary research project focused on developing an advanced IoT-AI system to support precision viticulture in the context of climate change. The system integrates hardware and software components to monitor vineyard health, grape quality, and environmental factors, while enabling predictive analysis and decision-making using AI technologies.


Project Website

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Project Objectives

  • Design and implement an IoT-AI system architecture for vineyard monitoring and predictive analysis.
  • Develop hardware components to collect multimodal data from sensors, GPS modules, and multispectral drones.
  • Create software modules for data acquisition, storage, GIS mapping, and integration with AI algorithms.
  • Train and validate AI models for predicting plant health, disease spread, harvest timing, and grape yield.
  • Integrate all components into a final system and test in Romanian vineyards under real conditions.

Research Focus

  • Precision viticulture under climate variability
  • IoT systems for multimodal data collection
  • AI-based predictive analytics for vineyard health
  • Multispectral imaging and geospatial information systems (GIS)

Consortium and Partners

The project is coordinated by the Research and Development Station for Viticulture and Winemaking Blaj (SCDVV Blaj), with two partners:

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Implementation Timeline

Start Date: July 28, 2023
End Date: December 31, 2026

Funding

Funded by the Ministry of Agriculture and Rural Development through the ADER 2026 Program
Total budget: €250,000

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Expected Outcomes

  • A complete IoT-AI system tailored for vineyards
  • AI models for disease detection, nutrient stress analysis, yield estimation
  • Annotated datasets for multimodal vineyard monitoring
  • Scientific and technical documentation for deployment and exploitation

The Vitis-IoTech project aims to support grape growers and vineyard managers with data-driven tools to improve crop quality, optimize resource use, and adapt to the challenges of climate change through modern digital agriculture.