Towards more effective visualisations in climate services: good practices and recommendations

Visualisations are often the entry point to information that supports stakeholders' decision- and policy-making processes. Visual displays can employ either static, dynamic or interactive formats as well as various types of representations and visual encodings, which differently affect the attention, recognition and working memory of users

Towards more effective visualisations in climate services: good practices and recommendations2023-11-14T18:34:27+01:00

Data driven predictive models based on Artificial Intelligence to anticipate the presence of Plasmopara viticola and Uncinula necator in southern European winegrowing regions.

Downy and powdery mildews are two of the main diseases threatening grapevine cultivation worldwide caused by the phytopathogens Plasmopara vitícola and Uncinula necator, respectively. These diseases may cause severe damage to grapevines by inducing wilting of plant organs, including bunches, especially when vines are untreated. This fact, together with the widespread of these pathogens due to the large extensions of land dedicated to grapevine monoculture, makes necessary to develop new predictive modeling tools that allow anticipating disease appearance in the vineyard, minimizing the losses in fruit yield and quality, and helping farmers in defining appropriate and more sustainable disease management strategies (fungicides applied at the right time and dose).

Data driven predictive models based on Artificial Intelligence to anticipate the presence of Plasmopara viticola and Uncinula necator in southern European winegrowing regions.2023-11-07T14:40:36+01:00
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