Leveraging Data, Models & Farming Innovation to Prevent, Prepare for & Manage Pest Incursions: Delivering a Pest Risk Service for Low-Income Countries

Abstract

AbstractGlobally, pests (invertebrates, vertebrates, pathogens, weeds) can cause estimated annual losses of between 20% and 40%, but higher losses are disproportionately experienced by many low-income countries, as agriculture is the mainstay of the majority of the people and of national economies. Pests pose a major barrier to these countries’ ability to meet the aims of the UN Sustainable Development Goals (SDGs), particularly SDG2, “End hunger, achieve food security and improved nutrition and promote sustainable agriculture.” However, solutions, in the form of pest risk alert systems, coupled with major advances in technology, are now providing opportunities to overcome this barrier in low-income countries. In this paper, we review these systems and the advances in data availability, management and modeling and communication technology and illustrate how these can provide new and novel solutions for the development of agricultural pest and disease early warning and risk-mapping systems and contribute to improved food systems in low-income countries. In conclusion, we identify key areas for the UNFSS that will help guide governments in engaging with these developments.