News

VISCA Final e-Conference and the Way Forward

On 15th December 2020, VISCA Final Conference was held virtually to present the results of the project and the way forward. The conference attracted around 60 participants with a variety of profiles: viticulturists, wine producers, scientists, agricultural communities, software providers, entrepreneurs, media, among others who connected to the e-conference from 10 countries: Belgium, France, Greece, Italy, Israel, Netherlands, Portugal, Spain, Tunisia and the UK.

The e-conference started with a welcoming statement from the project coordinator (METEOSIM) by Josep Sole Maria and the CEO of METEOSIM Oriol de Tera who opened the floor to the two guest speakers from the European Commission: Sasa Zavadlav (VISCA project Officer) and Marjan Van Meerloo, Directorate General for Research & Innovation. They both presented 'R&I contribution to the Green Deal objectives: Climate Action'.

After that, a session on VISCA presentation and results was organized. A short presentation of VISCA was made by the project Coordinator Josep Maria Solé. Then, Claudio Rossi from LINKS  Foundation made a short live demo of the VISCA Decision Support System (DSS) & its added value. The DSS is a Progressive Web Application which integrates climate and agricultural models with farmers’ management specifications to design short practices, medium- and long-term adaptation strategies to climate change. The live demo showed the integrated dashboard of the DSS with its 3 main widgets (phenology, sugar accumulation, irrigation and weather forecasts) as well as the features in relation to the map-based visualization. Later, the key results of the validation of the DSS and the climate services as well as the outcomes from the agronomic techniques: crop forcing and shoot trimming were illustrated by Omar Garcia from IRTA. VISCA solutions were demonstrated in 3 sites in ItalyPortugal and Spain . An interactive round table with end-users representing Codorniu (Xavier Bordes), Symington (Fernando Alves) and Mastroberardino (Antonio Dente) was part of this session where they shared their feedback from the implementation of VISCA solutions.

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Reliability of VISCA DSS on Predicting Extreme Events

The weather conditions have an important role in the development of many social and economic activities. Forecasting of weather conditions can be useful to plan activities especially during extreme events as such information can help to react in time and, consequently, support businesses which are weather-sensitive. This is the case of the wine sector; whose production and crop quality highly depend on the weather conditions.

In this context, weather forecasting becomes of a paramount importance and provides added-value to the end-users to manage their resources and in-field activities and to anticipate potential extreme events.

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VISCA Project Hosts a Successful e-Workshop!

On 29th October 2020, VISCA consortium organized an e-Workshop to present the latest release of VISCA Decision Support System (DSS) & its added value through a live demo. The DSS is a Progressive Web Application which integrates climate and agricultural models with farmers’ management specifications in order to design short practices, medium- and long-term adaptation strategies to climate change. The live demo showed the integrated dashboard of the DSS with its 3 main widgets (phenology, irrigation and weather forecasts) as well as the features in relation to the map-based visualization.

Furthermore, the preliminary results and key findings were presented from the demonstration sites in Italy, Portugal and Spain in terms of the validation of the DSS as well as the results from the agronomic techniques: crop forcing and shoot trimming. In addition to that, the commercial opportunities and exploitation options were briefly discussed.

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New scientific article published: The pitfalls of water potential for irrigation scheduling

A new scientific article has been published entitled "The pitfalls of water potential for irrigation scheduling".

Abstract: The water potential (Ψp), has been widely used as an indicator of plant water status for irrigation management purposes. The simple infrastructure needed for its measurement and its direct relation to basic plant physiological processes, have contributed to the popularity of the methodology. When used for irrigation scheduling, it is commonly assumed that an unavoidable relationship exists between plant transpiration (T), soil water content and Ψp. Nevertheless, it is worth remembering that variations in Ψp are not solely related to changes in soil water content, but are also an expression of the interaction between the plant and its environment. We used a soilplant-atmosphere-continuum (SPAC) model to highlight the importance of considering such interactions through a series of in silico experiments. Our analysis shows that evaporative demand, the hydraulic architecture of the plant, and the texture and depth of the soil play key roles in the final Ψp observed. To establish irrigation programs based on Ψp, without considering the environmental and plant factors that influence it, can create the paradox of having a plant that suffers greater water stress even when high irrigation volumes are applied. The conclusions from our in silico analysis provide some warnings that should be considered when using Ψp to schedule irrigation.

Download the full article from here

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Join us at VISCA e-workshop, 29 October 2020

VISCA e-workshop: Discover how VISCA DSS supports viticulturists in climate change adaptation
(Registration is open)

Date: 29th October 2020
Time: 10:00 am -12:00 pm CET (2 hours)


Our consortium is pleased to invite you to 'VISCA e-workshop' to be held online on Thursday, 29th October 2020 from 10:00am-12:00 pm CET. The e-workshop aims to bring wine growers, agronomists, scientific community, commercial partners and others to discover the latest release of VISCA Decision Support System (DSS), its added value and how it supports viticulturists in adapting to climate change. Also, the commercial opportunities and the exploitation of the tool will be discussed.
VISCA e-workshop is expected to be interactive with feedback collection and Q&A sessions during presentations. Registration to the e-workshop is open until 28 October 2020 [click here]. After registration, the link to connect to the meeting will be sent. 

Agenda:

  • Short introduction on VISCA project
  • Presentation of the VISCA DSS (phenology, irrigation and weather forecasts information widgets) 
  • Presentation of results achieved, key finding from the demonstration sites
  • VISCA commercial strategy & opportunities
  • Conclusions
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How Does VISCA DSS Offer Smart Irrigation Management to Vineyards?

VISCA DSS is integrating climate and agricultural models with farmers’ management specifications in order to design short practices, medium- and long-term adaptation strategies to climate change.

The irrigation widget included in VISCA DSS provides recommendations for weekly irrigation needs based on plant and end-user requirements. This component of the tool has supported the irrigation management across the demonstration sites in Italy, Portugal and Spain. The irrigation model takes into account the plant physiological characteristics, the end-users’ necessities, and the irrigation and weather data during the growing season, to provide accurate irrigation volume forecasts for the next week. The model uses the midterm (weekly) weather predictions which is also included in VISCA DSS.

Figure1. Example of irrigation applied by the end user (purple line and bars) and predicted by the DSS (green line and bars) on an irrigation block at CODORNIU (Spain)

The irrigation widget in VISCA DSS allows the end-users to have an easy access to the irrigation data. The irrigation widget is divided into three panels (Figure 1). The left hand panel has an interactive map which shows the irrigation block selected in the parcel. The central panel presents the accumulated irrigation predicted (green line) and applied by the end user (purple line) and the right hand panel presents the weekly irrigation applied (purple bar) and forecasted by the VISCA irrigation model (green line).

What would happened if this forecast is not available (Business as Usual scenario)?

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Supporting Decisions on Canopy Management in the Italian Demo Site with VISCA DSS

VISCA DSS is integrating climate and agricultural models with farmers’ management specifications in order to design short practices, medium- and long-term adaptation strategies to climate change.

In the Irpinia Valley, located in south of Italy (about 60 km from Naples), a very warm winter influenced the precocity of the budbreak that occurred one week earlier than average. Also, blooming advanced earlier followed by a rainy month of June with some problems of downy mildew. However, with the predictions supplied by VISCA DSS, the Mastroberardino viticulture team was able to contain the disease by increasing the number of treatments sprays, anticipating the action as the prediction of several days of rainfall was given.

VISCA DSS showing that bud break and blooming have been achieved and earlier than normal (July 2020)

 

Blooming observed in the field - Italian Demo Site (July 2020)

This summer, VISCA DSS, in particular the short-term and mid-term climate forecasts, has predicted lower precipitation than normal and higher temperature than normal in Mirabella Eclano estate in the Campania region, where our Italian demonstration site is located. Before the phenological phase of blooming, the DSS, through the seasonal forecast, predicted a dry and hotter summer than normal, followed by the months of September and October with the same trend. Aglianico is the grapevine under the VISCA experimental plot and it is extremely sensible to powdery mildew disease. The dry season usually influences the development of the fungus directly on the grapes. Therefore, such useful predictions allowed the Mastroberardino vinegrowers to take decisions about the canopy and vineyards management in advance. First of all they programmed:

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This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 730253.