Advancing agricultural biosecurity through computational modeling and data-driven intelligence.
Plant diseases cost the global agricultural industry billions of dollars annually and threaten food security worldwide. Diseases like Huanglongbing (citrus greening) have devastated entire regional crop economies, while emerging threats continue to appear faster than traditional surveillance systems can track them.
Current response frameworks often rely on reactive measures, intervening only after disease has already established itself across a region. By the time an outbreak is detected and characterized, the window for cost-effective containment has often already closed.
Arkopos brings epidemiological modeling techniques to agricultural defense. By combining SEIR compartmental models with real-time weather data, county-level geographic networks, and historical disease spread patterns, we enable researchers and policymakers to anticipate disease trajectories before they unfold.
Our wargaming engine allows users to model intervention strategies under realistic budget constraints, comparing the effectiveness of quarantine, treatment, surveillance, and crop removal approaches before committing resources in the field.
SEIR epidemiological simulation with weather integration and county-level disease diffusion networks.
Intervention wargaming with budget constraints, cost tracking, and strategy comparison tools.
AI-powered research assistant with RAG retrieval across agricultural disease literature.
Arkopos is built exclusively for defensive agricultural research. Our tools are designed to help researchers, extension agents, and policymakers protect crops and livelihoods through better information and planning.