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Predictive models to support decision-making in crop pest and disease control

Start date: 29/04/2025
Ending date: 29/04/2025
Modality: Online

Description

Next Monday, April 29 , from 4:30 p.m. to 6:00 p.m. , the webinar "Predictive models to support decision-making in pest and disease control in crops" will take place. This free online event will bring together leading experts in plant health and technologies applied to the agri-food sector.

Organized by the Cajamar Experience Center , this digital event aims to demonstrate how the use of mathematical models and predictive tools can improve phytosanitary management on farms, helping to reduce the number of treatments, anticipate risks, and optimize available resources , in line with more sustainable and efficient agriculture.

A program with industry leaders

The event will be opened by Carlos Baixauli Soria , Director of the Cajamar Experience Center, who will also moderate the final panel discussion.

The program includes three main presentations:

  • 4:40 p.m. – Ángel Plata Sánchez , R&D Technician at Tragsa, will present how degree-day models can optimize insect pest management by adjusting treatments to the most effective times.
  • 5:00 PM – Antonio Vicent Civera , Unit Head at IVIA, will discuss the use of epidemiological models for controlling fungal diseases in fruit trees, showing practical examples of their application in the field.
  • 5:20 p.m. – Miguel Martínez Ramón , Digital Product Manager at Agrigenio Spain, will talk about Decision Support Systems (DSS) and their key role in present and future agriculture.

The event will conclude with a panel discussion at 5:40 p.m. , where the three speakers will exchange views on the challenges and opportunities of digitalization in crop protection, moderated by Carlos Baixauli.

Open enrollment

The webinar is aimed at farmers, technicians, cooperatives, agri-food companies, and those interested in agricultural innovation. Registration is free and is now open through Cajamar's Plataforma Tierra website.


REGISTRATION

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