The Crop Ontology (CO) is developed collaboratively with partners in response to the need of digital breeding tools to have access to valid lists of defined crop traits and variables.

The Early Warning System (EWS) provides alerts of disease risk available on a dashboard, via email, or text message for users. The EWS also has in-built crop models to allow researchers to explore the implications of sowing date and management on dis

The project puts small-scale fisheries data in the hands of fisheries officers, researchers, and local stakeholders by creating an automated data pipeline to highlight temporal and spatial changes in fish production.

Farm.ink connects geographically isolated farmers and provides research insights about livestock health.

The ?Let it rain? campaign is a platform that gamified weather prediction to incentivize farmers uptake of localised agro-advisories and help crowdsource weather information, which, when run through machine learning, will further improve weather fore

This project will pilot a transportable, low-cost diagnostic ?lab-in-a-backpack? that will enable users without molecular biology experience to identify fish pathogens in real-time with limited electricity and internet connectivity.