Enabling FAIR data sharing and responsible data use
This project focuses on enabling FAIR data across agricultural development investments by turning principles into practice. CABI supports partners to make data more findable, accessible, interoperable and reusable through measurable FAIR assessments, domain-specific guidance and trusted data access frameworks. By embedding governance into programme design and funding decisions, and clarifying what “AI-ready” data requires, the project strengthens data ecosystems, improving data reuse, reducing duplication and increasing the value of development investments.
Earth observation to improve critical datasets for pest risk modelling
Rising temperatures have led to pests, diseases and weeds establishing in areas of the world that were previously uninhabitable. Furthermore, growth in global trade and new trade pathways increase the risk of accidental movement of pests. Earth Observation (EO) and climatic data can help by improving predictions about where potential agricultural pests and diseases may be a threat. Information produced by models can help decision makers understand and prepare for future risks. Working with a consortium of researchers, this project will use EO data to improve the data layers used in models that predict where pests can establish, including irrigation, areas under protected agriculture and climatic canopy conditions, demonstrating the improvements made to species distribution estimations for key pests and biological control agents.