Station 1 – Climate Science, Modelling & Predictive Analytics (Booths)
Interactive booths demonstrating how climate data, horizon scanning, AI analytics, and risk modelling are operationalized to support phytosanitary decision-making and preparedness.
|
Booth showcases:
- European Union / EFSA – EU Approach to Emerging Plant Health Threats: Integrated Horizon Scanning, Risk Assessment, Diagnostics and Research-to-Regulation Tools
- Mexico (SENASICA) – Integrated Spatial Intelligence for Phytosanitary Surveillance: GIS- and AI-Based Risk Assessment for Citrus Canker
- Mexico (CNRF / SENASICA) – Drone-Based Multispectral Surveillance for Fusarium TR4 Detection and Risk Prioritization (merged with SENASICA booth)
- Kenya / Togo (ICIPE / University of Lomé) – ChatENM: An AI Chatbot for Ecological Niche Modelling in Pest Risk Analysis and Horizon Scanning (provisional)
|
Station 2 – Immersive Emergency Simulation (Booths)
Booths offering immersive and interactive simulation tools that strengthen preparedness, coordination, and response capacity for phytosanitary emergencies.
|
Booth showcases:
- IPPC Secretariat / FAO – IPPC Pest Outbreak Simulation and Immersive Training Tools for Prevention, Preparedness and Response (provisional)
- OIRSA (Central America) – Immersive Simulation and Rapid Field Diagnostics for Plant Pest Emergency Preparedness
- New Zealand (MPI) – Immersive Virtual Reality for Biosecurity Awareness and Preparedness: The Kauri Dieback Experience
|
Station 3 – Hands-on Field Technologies (Booths)
Field-ready, NPPO-relevant technologies demonstrated through interactive booths, supporting early detection, inspection, diagnostics, and surveillance.
|
Booth showcases:
- Guatemala (NPPO – MAGA) – Low-Cost Smart Phytosanitary Traps for Early Detection and Surveillance in Low-Resource Settings
- Sri Lanka (NPPO) – Rebuilding National Pest Surveillance Systems: Digital Tools for Rice and Fruit Fly Monitoring
- Italy (University of Padova – Digital Identification Tools for Rapid Detection of EU Quarantine Scolytine Beetles at Points of Entry
- World Vegetable Center (WorldVeg) – VeggieMon: A Global Disease Surveillance and Pathogen Intelligence Platform for Vegetable Crops (provisional)
|
Station 4 – Poster Gallery & Knowledge Exchange (Posters Only) Evidence, experience, AI applications and analytical insight
A dedicated poster gallery presenting analytical work, country experiences, emerging use of AI in phytosanitary programs and methodological advances that inform phytosanitary policy and implementation.
|
Poster presentations:
| 1 |  | Canada (Canadian Food Inspection Agency) – Nachet: Weed Seed Identification Using Artificial Intelligence |
| 2 |  | China (Aerospace Information Research Institute, Chinese Academy of Sciences / CABI) – AI-Enabled Monitoring, Forecasting and Control of Vegetation Pests and Diseases |
| 3 |  | Senegal (Gaston Berger University) – Early Detection of Eggplant Pests Based on the You Only Look Once (YOLO) App for Precision Agriculture |
| 4 |  | Jamaica (Ministry of Agriculture, Fisheries and Mining) – Strengthening Quarantine Pest Surveillance Through AI-Enabled Smart Trap Technology |
| 5 |  | Japan (Ministry of Agriculture, Forestry and Fisheries – MAFF) – Artificial Intelligence Development for Detection of Plant Pathogenic Fungi Spores |
| 6 |  | Mexico (National Agro-Alimentary Health, Safety and Quality Service – SENASICA) – Phytosanitary Alert System for Economically Significant Pests in Corn, Bean, Wheat and Rice |
| 7 |  | North American Plant Protection Organization – NAPPO – Transformative Applications of Artificial Intelligence in Plant Protection |
| 8 |  | Netherlands (NVWA / Netherlands Institute for Vectors, Invasive Plants and Plant Health) – Monster or Mundane: International Data-Sharing to Prevent Unnecessary Regulation and Trade Barriers |
| 9 |  | Uganda (Department of Crop Inspection and Certification, Ministry of Agriculture) – Risk Modelling of Clavibacter nebraskensis, an Emerging Pest Threat |
| 10 |  | United States (University of Florida) – The R2M Plant Health Toolbox: Rapid Risk Assessment for Invasive Pathogens and Pests |
| 11 |  | Netherlands (Wageningen University & Research) – senseApest: Early Detection of Invasive Pests Using VOC-Based Sensors |
| 12 |  | Zimbabwe (Directorate of Agricultural and Rural Development Advisory Services – ARDAS) – Horizon Scanning of Invasive Plant Pests Endangering Zimbabwe’s Agriculture Sector |
|