Now published: Evaluating a landscape-scale model to forecast wheat stem rust with @metoffice.gov.uk @cimmyt.bsky.social and #EIAR 🇪🇹 Funded by @gatesfoundation.bsky.social #FCDO doi.org/10.1088/1748...

Predicting wind-dispersed crop disease at large scale and evaluating performance with sparse observations. Pleased to have collaborated and published! iopscience.iop.org/article/10.1... @iopp-environment.bsky.social @camplantsci.bsky.social #OpenAccess #PlantDisease #FoodSecurity

Could the way we arrange crops boost future food security? New work from @camplantepidem.bsky.social looks at how crop layout in landscapes can dramatically slow plant disease spread without relying on chemicals or costly interventions. tinyurl.com/353tb8jw @suprunenkoyf.bsky.social @cam.ac.uk

How can farmers use models to prevent wheat disease? Watch the video from @camplantepidem.bsky.social to see how subsistence farmers across Africa & South Asia can use forecasting models to protect their crops. 📽️ tinyurl.com/3yecskf4 Funded by @cambridgefestival.bsky.social 🙏 🧪#PlantSci

Excited that my project idea was selected! AI-driven summaries of crop disease forecasts. Our team is looking forward to the journey from idea to impactful prototype with support @ai.cam.ac.uk and @cimmyt.bsky.social. @camplantepidem.bsky.social @camplantsci.bsky.social