SIVA AGRIFOOD PLATFORM is a decision support system (DSS) dispensed in SaaS mode and designed for individual or associated agricultural businesses and agro-food companies operating in the primary production segment. SIVA manages geographical, environmental, agronomic and administrative information relative to the agricultural sector. The system is organized onto an advanced webGIS computer platform, on which layers of information are organized relative to:

The solution's modular development allows access to geo-localized information using webGIS (Geographical Information System) applications. The platform integrates various types of information: business registries, RAD digital cartography, altimetric cartography, phonological monitoring data, field surveys and samples, meteorological information from monitoring networks. The overlapping of different layers of information allows for the creation of a highly integrated viticulture management system. The computing platform comprises a Silverlight user front-end, a plugin developed by Microsoft for Windows and Mac platforms that displays the latest generation of multimedia content and services on a browser.

Primary decision support tools:

Technical bulletins: the SIVA platform processes agronomic and agro-meteorological bulletins which dynamically use recent archived data to compose a descriptive picture of evolutions in the field over the past hours or days.

• Current adverse events (late frosts, strong winds, storms...) and processing of weather data (persistence of precipitation, water balance, leaf wetness accumulation ...)
• Eco-physiological and epidemiological alerts derived from the use of theoretical and empirical models produced by academic research and validated by a recognized institution.

The first alarm state allows the user to monitor trends for the variables considered in real time. The second application allows for the processing of input parameters, while checking for the presence of conditions that satisfy multiple rules. In this case, a control system can be built which is based on various parameters linked to each other, creating empirical models to defend against phytosanitary events for primary fungal pathogens and insect pests, while monitoring water needs.