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Practice abstract 1: Control of “difficult to manage” pests and pathogens in fruits and vegetables

  • Writer: Angeliki Milioti
    Angeliki Milioti
  • Aug 25
  • 1 min read

NextGenBioPest is a Horizon Europe project focused on increasing crop yields while significantly reducing the use of chemical pesticides. It aims to develop innovative and improved tools, methods, and practices to control the most challenging arthropod pests and pathogens in key vegetable and fruit crops. The project introduces a comprehensive toolkit that includes advanced diagnostics for pest and pathogen identification, new Biological Control Agents, enhanced techniques to boost their effectiveness in the field, RNA-based pesticides, low-risk green chemicals, plant resistance inducers, and sustainable agronomic and ecological practices. These innovations will be combined with existing crop protection methods to create effective, environmentally friendly, and sustainable solutions.The project addresses the urgent need to reduce reliance on synthetic insecticides, which harm the environment and threaten food security. NextGenBioPest’s goal is to deliver rational pest and pathogen control methods that protect human health and improve agricultural productivity. Key activities include the development of automated molecular and AI diagnostic platforms, enhancing biological control in integrated pest management (IPM), creating RNA-based and low-risk pesticides, and testing new agronomic practices. The project also focuses on real-world demonstration fields to train stakeholders, and conducts socio-economic, environmental, and regulatory assessments. Communication and dissemination efforts will ensure wide adoption and impact of these innovations across Europe.



 
 
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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.

This work also received funding from UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding Guarantee, grant number 10091427.

This work was supported by the Government of Canada through the Genomic Applications Partnership Program (GAPP) (OGI-229).

Project coordination

Prof. John Vontas

vontas@imbb.forth.gr

Foundation for Research and Technology-Hellas (FORTH)

Project communication

MSc Angeliki Milioti

angeliki@smartagrohub.gr

Smart Agro Hub

Project Framework

This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement 101136611. Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.

This work also received funding from UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding Guarantee, grant number 10091427.

This work was also supported by the Government of Canada through the Genomic Applications Partnership Program (GAPP) (OGI-229).

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