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AidTec Solutions
A data-driven technological system that integrates multi-parameter vineyard sensors, IoT connectivity and advanced analytical models to monitor, predict and optimize vine behaviour and vineyard health. The platform combines real-time environmental measurements (soil humidity, temperature, leaf wetness, radiation, microclimate patterns) with machine-learning algorithms to generate precision decision-support indicators for viticulturists. This scientific result demonstrates how continuous in-field sensing and data fusion significantly improve the understanding of phenology, disease risk and plant stress dynamics in vineyards. A data-driven technological system that integrates multi-parameter vineyard sensors, IoT connectivity and advanced analytical models to monitor, predict and optimize vine behaviour and vineyard health. The platform combines real-time environmental measurements (soil humidity, temperature, leaf wetness, radiation, microclimate patterns) with machine-learning algorithms to generate precision decision-support indicators for viticulturists. This scientific result demonstrates how continuous in-field sensing and data fusion significantly improve the understanding of phenology, disease risk and plant stress dynamics in vineyards.
The system enables precision viticulture by providing actionable insights for irrigation, fertilization, disease prevention (e.g., downy mildew risk), harvest planning and sustainability optimisation. Wineries and growers can reduce chemical inputs, improve grape quality, detect stress conditions earlier and increase productivity through informed, data-based decisions. The solution enhances economic efficiency while promoting environmentally responsible vineyard management.
