Aaron I. Plex Sulá

GIRAF 1.0 assesses global pest invasion risks by integrating host data, environmental suitability, trade networks, and policies, revealing high vulnerability in many countries.

The paper assesses the geographic risk of 27 pathogens and pests for four crops in the Great Lakes region under current and future climate conditions using machine learning models.

This study identifies key locations and strategies to manage bacterial wilt spread in Ethiopia's potato seed systems through network analysis and risk assessment.

This study identifies high-risk areas for crop pathogens and pests in Cameroon and Ethiopia to support national plant health risk analysis and inform agricultural recovery strategies.