®: a DSS under improvement and enlargement of its functionalities


Different tools have been developed for the support of decision-making in plant disease and pest control, and these tools can be grouped into three categories: i) warning services; ii) on-site devices; and iii) decision support systems (DSSs). Within WP5, existing monitoring tools and DSSs are studied, further developed. In particular, Horta Ltd., a spin off company of the “Università Cattolica del Sacro Cuore”, Piacenza (Italy), is working on a recently developed DSS, called®, for the sustainable grapevine management. A properly designed DSS is an interactive software-based system that helps decision makers obtaining useful information from raw

data, documents, personal knowledge, and/or models in order to identify and solve problems and make decisions.® was initially developed as part of the MoDeM_IVM project and consist of a web-based tool that analyzes weather and environmental data, and site-specific characteristics of the vineyard by using advanced modeling techniques for the key processes involved in the management of the vineyard, and provides up-to-date information for the management of the vineyard, in the form of alerts, and decision supports.® automatically collects, organizes and integrates the following types of information: (i) context information (e.g., the characteristics of the vineyard, such as geographical location, environmental conditions, presence of toxic elements on the ground); (ii) crops information (e.g., vine, trellis system, and the line spacing of the plants, and the characteristics of canopy); (iii) status information (e.g., vine growth and crop development, pest and disease onset, and signs of water stress); and (iv) operational information (time, and the dose of pesticide application). Context and crop information are static, and are entered by the user on the web platform. The dynamic information is collected asynchronously; for example, the weather data are collected at regular intervals from meteorological stations or wireless sensor networks (WSN). The end user is able to get information on the status of crops and the actions to be taken in real time through a web interface.

Within the INNOVINE project this DSS is under improvement and enlargement of its functionalities. In particular, in the first two years of the project new functionalities were developed, such as: i) a model for estimation of the optimum dose of fungicides to be applied in the vineyard at any time; ii) indicators for the environmental impacts of the management actions undertaken into the vineyard; iii) a scouting module that allows the users to insert scouting observations for diseases, pests and abiotic stresses into the system, for both real-time calibration of the models and decision-making; iv) a model for infections of grapevine buds by powdery mildew; v) a model for leaf development in single hire wire (SHW) trellis, having free vegetation and no foliage wires for supporting the growing shoots; and vi) early detection of drought with improvements to connect this model with the model for leaf development in the different grapevine varieties and training systems. Goals of® are to: i) maintain the natural resources of the vineyard for future grape production; ii) improve the economic viability of the crop through better management of resources and reduction of certain inputs (e.g., chemicals, water, etc.); iii) demonstrate good environmental performance to customers, neighbors and the general community; v) maintain/gain access to certain markets, particularly those with high environmental standards.

For more information please contact Sara Elisabetta Leger

European Union
Innovine is a European collaborative project that has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement n° 311775.
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