Data management software

Decision Support Tools (DST) are revolutionising viticulture by combining field data and predictive models to optimise plot management. Thanks to sensors, GIS mapping and digital platforms, winegrowers can anticipate climatic risks, detect diseases early and plan interventions. These tools enable traceability, personalised analysis and informed decision-making, while guaranteeing data security and real-time accessibility.
Decision Support Tools (DST) combine data collected in the field with predictive models to guide winegrowers' decisions, enabling them to anticipate disease management, manage irrigation and plan treatments.

Data management in viticulture includes the use of mapping systems and GIS (Geographic Information Systems) to optimise plot management. Sensors measuring soil, vegetation and climate parameters provide information that can be used to anticipate interventions. Digital platforms can be used to centralise this data and ensure the traceability of operations.

Main uses

Cartography and GIS

Geographic Information Systems (GIS) can be used to create precise maps of vineyard plots, incorporating data on soil, climate and vegetation. These maps can be used to
  • Identify areas requiring specific intervention (fertilisers, treatments).
  • Monitor changes in plots over time.

Sensors and data collection

Sensors installed in the vineyards measure parameters such as humidity, temperature, water stress and rainfall. This data is essential for :
  • Anticipate climatic risks (frost, drought).
  • Detect diseases or deficiencies at an early stage.

Digital traceability

DATs make it easier to record and manage operations (treatments, harvests). The data collected is centralised and stored on dedicated platforms.

Predictive models

By cross-referencing sensor data and historical records, DMS can be used to model :
  • Disease forecasts (mildew, powdery mildew).
  • Irrigation requirements, depending on forecast weather conditions.

Use and settings

Data accuracy

The effectiveness of DAT depends on the accuracy of the sensors and readings. It is crucial to calibrate the tools correctly to ensure the reliability of the information used.

Customised analyses

Analysis platforms enable models to be adapted to the specific characteristics of each plot (grape varieties, terroirs). This optimises recommendations for targeted action.

Security and storage

The data collected must be protected against loss or manipulation. Modern systems include automatic back-ups and secure sharing options.

Accessibility

Connected mobile applications offer remote management of data and interventions. Winegrowers can consult information about their plot in real time and adjust their decisions instantly.

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