Agrifood

  • IoTNet

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    CSP has developed skills and experience of all the components of the Internet of Things system: from the data source (sensors) to the storage , transmission (telecommunications and broadcasting techniques),   data validation ( based on statistics  and processing of heterogeneous data ), to  platforms for query and data visualization, to specific use of data in reference to particular user needs, to storage and management of large databanks (through distributed DB and NoSQL solutions).

    The IoTNet project aims to build a complete system, in which the data collection by distributed sensors (including webcam) is managed through acquisition platforms, autonomous and distributed, placed in strategic locations in the Piedmont area. Moreover, an access and streaming portal enables an  aggregated view of data and to access the webcam live streams.

    Download IotNet platform datasheet.

  • Viniveri: technological innovation in the vineyard

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    In the innovation in the agro-food sector, agriculture is approaching ICT,  both in terms of agronomic management and in terms of phytopathological research.

    In particular,  ICT has a large impact on the data  collection, transmission , gathering  and the use of digital platforms for the exchange of agro-meteorological, eco- physiological, epidemiological, irrigation and farm management data. The focus is the grapevine susceptibility to some pathogens with severe consequences for the vegetative growth  and the wine production, such as downy mildew,  powdery mildew and botrytis bunch rot.

    The project aims to respond to the monitoring need through a hardware and software system which allows the advanced management of the vineyard. Web platforms, wireless technology, measuring sensors and position detectors of agricultural tractors complement each other to offer climatological information in real time.

    The project was a pilot sponsored by the Piemonte Regional Government and several partners were involved.

    Download the info sheet “CSP in precision farming” for further details.

  • SIGEVI: management and DSS of the vineyard supply-chain

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    Growing processes are conditioned by environmental factors such as temperature, solar
    radiation, humidity and rain. Thermic conditions are strictly involved in all physiological
    processes affecting phenological and physiological development. Climate and the vineyard management determine quality and quantity of the final product and guide strategies and behaviour of the farmer.
    In this context, identifying a stable correlation between climate conditions, plants growing and production quality allow the development of automatic systems for vineyard management.

    SIGEVI project develops, tests and implements innovative DSS – Decision support systems – starting from data collection (historical, from remote sensor networks, from the farmer using mobile systems), data elaboration and a user friendly feed-back – to support everyday decisions about vineyard management (irrigation, pruning, harvesting, productivity evaluations, phyto-pathologies defense strategies…).

  • ASSET: MHYSS–Measurement of Hydric Stress System

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    MHYSS – Measurement of Hydric Stress System are ICT solutions designed to measure levels of hydric stress in plants, using rain gauges and soil moisture sensors, dendrometers (micro and wireless) and an algorithm that calculates the Normalized Difference Vegetation Index (NDVI) using photography and panoramic imagery of the area in question. In the field of precision agriculture the asset is designed to measure the hydric stress levels of crops, but in general it can be used for any green surface (golf courses, football pitches, parks and gardens, etc.).

    Download Mhyss information sheet.

  • Living Labs: the Torino botanical garden

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    The use of energy-efficient sensors for the detection of environmental and renewable energy were the central themes of the Living Lab of the Torino Botanical Garden , set-up in collaboration with the University of Turin.

    The Living Lab foresaw the monitoring of phytologic values of lichens, that are relevant indicators of the air and soil quality, with the goal of modeling and transferring it in more complex environmental contexts.