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Results

Data collection protocols

12 Data collection protocols
(3 per technology: Proximal, Remote sensing, IoT, crowdsourcing)

Pest models

3 Pest models for Fungus, Bacteria & Virus

Smartphone application
(for Android & iOS)

1 Smartphone app for collecting data through crowdsourcing

Cost benefit analysis

6 cost-benefit analyses
(1 per Use Case Pilot)

AI algorithms
for pest detection both for proximal and remote sensing

AI Detection models:

  • 6 for fungal diseases (3 proximal, 3 remote),
  • 4  for bacterium (2 proximal, 2 remote),
  • 6  for viral (3 proximal, 3 remote) and
  • 3  for insects (proximal)
STELLA Pest Surveillance System (PSS)

STELLA PSS comprised of: STELLA Data model with domain data standards and interoperability enablers,
3 Subsystems and
1 legal framework for data sharing in accordance with EU Code of conduct on agricultural data sharing

E-learning
platform

1 E-learning platform with multimodal learning material on the use and exploitation of the STELLA Pest Surveillance System (PSS)

Policy analysis
  • 1 Policy analysis on plant health, agricultural/environmental policies and governance frameworks
  • 29+ Interviews with policy makers
  • 35+ Interviews with individuals
STELLA Datasets

10TB+ of data (EO, AI, agronomical) and corresponding metadata

Guidelines for system implementation

2 booklets including guidelines and know how for: system implementation, tested and improved data collection standards and strategies

Policy toolbox

1 Policy toolbox including:
5 Policy briefs and
60 Practice abstracts

Policy design Roadmap

5 Open access scientific publications based on the policy briefs (1 per policy brief)

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