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CABI shares expertise in Earth Observation data at International Pest Risk Research Group annual meeting

New project to use earth observation data and climate forecasts for targeted management of wheat blast disease

CABI’s expertise in Earth Observation technology for greater food security highlighted at EO4AGRI 2024

Wheat Blast: Earth observation and climate forecasts for risk management

Wheat Blast (Magnaporthe oryzae Triticum or ‘MOT’) is a plant disease of global concern, threatening crop production and biosecurity. Known to favour humid, warmer climates, the disease is a severe problem in Bangladesh and South America. However, the consequences of climate change pose the risk of the disease infecting other wheat-growing areas. Coupled with its ability to spread rapidly through the air and seeds, Wheat Blast’s devastating effects and limited control options are leading to heavy yield losses and it is now a threat to global food security. This project brings together a project consortium, formed of experts in Earth observation, remote sensing, pest and disease modelling, datasets and information dissemination to produce Wheat Blast risk maps and actionable advice as part of a framework. The framework will be used by key stakeholders as part of a targeted management approach to the disease.

Developing a dynamic approach using earth observation technology to improve pest risk modelling

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.