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.