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

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.

The project analyzes two years of commercial data on 17 fresh fruit and vegetables (FFV) from more than 20,000 farmers, 14,000 retailers and 6 wholesale markets, and more than 100 fast moving consumer goods (FMCG) to gain insights into the metropolit