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PestNu
  • Home
  • About
    • Scope
      • Mission
      • Objectives
      • Goal of Impacts
    • Meet the Partners
  • News & Events
    • News
    • Events
  • Resources
    • Public Deliverables
    • Downloads
  • Services
    • Workshop Results
    • Material on Best Practices
    • Market Trends
    • Business & Investment Opportunities
    • National Plans
    • Training Material
    • Augmented Reality Training Tool
    • Online Measurement from Pilot Sites
    • F.A.Q.
  • IAB Members Logos
  • Contact
  • Sister Projects
PestNu

Category: News

10 December 202119 July 2022News

PESTNU PROJECT GOT PRESENTED AT B-BLUE EVENT AT TILAMUR FACILITIES

B-Blue event at Tilamur facilities on the 26th of November, 2021, has been a […]

9 December 202119 July 2022News

PESTNU APPEARS FOR THE FIRST TIME AT THE GENERAL ASSEMBLIES OF THE COPERNICUS NETWORKS, 2021!

Dr. Patrícia Lourenço, from Agroinsider, Partner of PestNu, presented the project at the General Assemblies […]

8 November 202119 July 2022News

DR. RIA PECHLIVANI, PROJECT COORDINATOR OF PESTNU AND AND IKNOWHOW, VISITED THE UNIVERSITY OF THESSALY

Dr. Ria Pechlivani, Project Coordinator of PestNu H2020 Green Deal Project and the robotics […]

4 November 202119 July 2022News

PESTNU PROJECT’S PARTNER STAMTECH PARTICIPATED IN ECOMONDO EXPO

PestNu project’s partner Stamtech participated in Ecomondo Expo, which took place in Rimini, Italy , […]

27 October 202119 July 2022News

PESTNU PROJECT JUST KICKED-OFF!

The Kick off meeting of the new H2020 Green Deal project PestNu (GA101037128) took place digitally […]

26 October 202118 July 2022News

PROJECT COORDINATOR, DR. RIA PECHLIVANI PRESENTED PESTNU PROJECT.

PestNu project Coordinator, Dr. Ria Pechlivani from CERTH, Greece, presented the scope of […]

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Recent News & Events

  • New Publication: “Deep Learning-based Multi-spectral Identification of Grey Mould”
  • 31/01/2023: Save the date of the Greek National Workshop of PestNu project!
  • Presentation of the paper “Whiteflies and Black Aphids Detection in Field Vegetable Crops using Deep Learning”

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement no. 101037128.
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