A Sensorless, Big Data Based Approach For Phenology And Meteorological Drought Forecasting In Vineyards

This study monitored 25 vineyards in 2021 and 2022 to calibrate and validate the modelled budbreak, flowering and veraison dates. The vineyard sample included traditional, organic and biodynamic management, with nine cultivars and three rootstocks aged 9-33 years, and various other characteristics such as row orientation, exposure, vine spacing, vine density, canopy height and thickness, soil texture, interrow and under-the-row soil management, irrigation, and altitude. The data flow followed a Big Data analysis framework, which involved an initial phase of data collection from various sources, followed by migration and storage, cleaning, model creation, and final visualization of the outputs.