Q&A with 2019 Inspire winners: Rapid aquaculture pathogen detection
Channel: CGIAR Platform for Big Data in Agriculture
Date: 2020-03-27

A 2019 #InspireChallenge project is piloting 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.

Aquaculture is the world’s fastest growing food sector and has been recognized for its potential to alleviate poverty and hunger. However, fish diseases and a lack of how to identify, track, and contain them can prohibit aquaculture development. 

Join project leaders Jérôme Delamare-Deboutteville (WorldFish), Andrew Barnes (University of Queensland), and Shaun Wilkinson (Wilderlab) to chat about their innovative #BigDataInAg research.

Learn more about the project: https://bigdata.cgiar.org/inspire/inspire-challenge-2019/rapid-genomic-detection-of-aquaculture-pathogens/