Advanced Analytics
Cutting-edge AI models for the right information at the right time. Technology supports, the winemaker decides.
LoraWine integrates models and artificial intelligence to transform sensor-collected data into useful and timely predictive information. The system doesn't just collect data but processes it in real-time to offer forecasts, calculated indices, and personalized operational suggestions.
LoraWine's approach to data analysis is clear: technology supports, the winemaker decides. The algorithms provide the most accurate information possible, but the final decision always remains in the hands of the professional who knows their production reality better than anyone else.
Hyperlocal Weather Forecasts
LoraWine's weather forecasts are not generic: the system interpolates meteorological data with precise readings from installed sensors, creating forecasts specific to each individual vineyard. The accuracy of these forecasts significantly surpasses traditional forecasts, which cover areas too vast to be truly useful in precision viticulture.
Hyperlocal forecasts allow anticipating critical events such as frosts, heavy rains, or heat waves with hours of advance notice, giving the winemaker the time needed to prepare protective interventions.
Intervention and Effectiveness Windows
Knowing when to intervene is just as important as knowing how. LoraWine automatically calculates optimal time windows for phytosanitary treatments, cultivation operations, and cellar interventions, considering predicted weather conditions, crop status, and product characteristics.
Effectiveness windows also evaluate when a treatment will have maximum effect, considering factors like temperature, humidity, and wind. This approach reduces the number of necessary treatments, minimizes environmental impact, and optimizes operational costs.
Real-Time Charts
Data collected by LoraWine comes to life through interactive real-time charts that allow quick and intuitive consultations. It's possible to compare parameters from different sites, visualizing trends and patterns across the analyzed charts.
The system allows aggregating data with mathematical formulas, selecting the preferred time window, and viewing short-term forecasts for each specific parameter.
Data Spatialization
Data spatialization creates detailed agricultural maps that faithfully represent the different parts of the vineyard. Using the territory's morphological characteristics and agro-meteorological parameter collection at key points, LoraWine can distribute the point parameters measured by weather stations to vineyard areas where they are absent.
This approach transforms the vineyard into a mosaic of precise, point-specific information, capable of supporting the winemaker in defining climatic events.
Agronomic Indices
LoraWine doesn't just measure physical variables but calculates complex agronomic indices necessary for professional viticulture. These include thermal sums, VPD (Vapor Pressure Deficit), and dew point.
Fundamental indices for understanding the agricultural ecosystem effectively.
Analysis and Annotation Archive
With LoraWine, all agronomic and laboratory analyses, quality samplings, fermentation monitoring, and any annotations are archived in an organized and secure space divided by vineyard, wine, and vintage.
LoraWine's centralized digital archive ensures that every evaluation, oenological or agronomic, is always at hand, eliminating information dispersion and facilitating internal analysis of production results for continuous improvement.
Evolve with LoraWine
Request a free demo and discover how LoraWine can help you monitor, analyze and enhance your wine production.
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