Development of a water stress alert system embedded in a DSS for Integrated Vineyard Management

  1. Salinari, F. 3
  2. Mariani, L. 3
  3. Diago, M.P. 4
  4. Tardaguila, J. 4
  5. Poni, S. 5
  6. Cola, G. 5
  7. Oliveira, M. 2
  8. Bettati, T. 1
  1. 1 Centro Ricerche Produzioni Animali, CRPA, C.so Garibaldi 42, 42121 Reggio Emilia, Italy
  2. 2 Universidade de Trás-os-Montes e Alto Douro
    info

    Universidade de Trás-os-Montes e Alto Douro

    Vila Real, Portugal

    ROR https://ror.org/03qc8vh97

  3. 3 Horta Srl, via E. Gorra 55, 29122 Piacenza, Italy
  4. 4 Instituto de Ciencias de la Vid y del Vino
    info

    Instituto de Ciencias de la Vid y del Vino

    Logroño, España

    ROR https://ror.org/01rm2sw78

  5. 5 Catholic University of the Sacred Heart
    info

    Catholic University of the Sacred Heart

    Milán, Italia

    ROR https://ror.org/03h7r5v07

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Revista:
Acta Horticulturae

ISSN: 0567-7572

Año de publicación: 2014

Volumen: 1038

Páginas: 565-572

Tipo: Artículo

SCOPUS: 2-s2.0-84905018886 WoS: WOS:000343887500071 GOOGLE SCHOLAR

Otras publicaciones en: Acta Horticulturae

Resumen

The European project MoDeM-IVM (A web-based system for real-time Monitoring and Decision Making for Integrated Vineyard Management aims to develop an interactive, web-based Decision Support System (DSS) for integrated management of the vineyard The project will produce a prototype of a DSS with the following functionalities: decision support for canopy management, disease and pest control, and alert systems on potential abiotic stresses, such as low temperature injuries and water stress, as well as attainable yield. The DSS is targeted at the vineyard manager, i.e., the person who makes decisions about the vineyard management or suggests the proper actions to the grower. The decision supports and alerts provided by the system are: i) formulated on the basis of mathematical models outputs; ii) based on the best options for managing the vineyard according to the Integrated Production. The models working within the DSS receive weather and soil data in real-time by a Wireless Sensor Network installed in the vineyard. Further information on the vineyard components can be collected by means of hand held devices. In respect to water stress, a model for its early detection as a function of soil water content was developed.