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holistic management of emerging forest pests and diseases

Here, you will find all public HOMED deliverables.
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D3.5 Application of deep learning for symptom identification in trees (Summary)

Authors: Telespazio France et al.
Year: 2021
duedate: September 2021
Deliverable number: D3.5
Download: (0.22 MB)

D3.4 Guidelines for new detection methods (LAMP, RTqPCR, VOCs, Single Cells) of forest PnPs (Summary)

Authors: Swedish University of Agricultural Sciences et al.
Year: 2021
duedate: September 2021
Deliverable number: D3.4
Download: (0.74 MB)

D4.1 Application of remote sensing to the four categories of PnPs, and potential generalisation (Summary)

Authors: Mendel University in Brno; Telespazio France
Year: 2020
duedate: September 2020
Deliverable number: D4.1
Download: (8.99 MB)

D4.4 On-board delimitation technologies for UAVs using visual cues (Summary)

Authors: Telespazio France et al.
Year: 2022
duedate: January 2022
Deliverable number: D4.4
Download: (3.27 MB)

D4.2 Surveillance of damage by specific pests based on optical and chemical signals (Summary)

Authors: University of Padova
Year: 2021
duedate: March 2021
Deliverable number: D4.2
Download: (21.34 MB)

D7.1 Project branding and promotional materials (logo, leaflet, poster, templates), website and online community

Authors: Pensoft Publishers
Year: 2019
duedate: March 2019
Deliverable number: D7.1
Download: (1.19 MB)