News

The Bioscience Big Ideas Pipeline

Do you have an exciting and ambitious Big Idea? Introducing the Biosciences Big Ideas Pipeline. UKRI-BBSRC is excited to launch the ‘Bioscience Big Ideas Pipeline’, a pilot programme through which we aim to engage with our broad research and innovation community in a quest to identify adventurous and exciting ideas that have the potential to…

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Annotated Image Database

At the launch meeting, we asked you, ‘what you would like to see the network doing?’ One of the suggestions was to have access todataset storage facilities, particularly one holding annotated images for use during the development of machine learning methods. We are hoping to bring this facility to our network members soon, by opening…

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Contribute to the UK Phenotyping Roadmap

BBSRC is working with stakeholders across the UK plant and crop phenotyping community to put together a national strategic vision and roadmap around EMPHASIS and PhenomUK – please contact Richard.Traini@bbsrc.ukri.orgif you want to take part in the conversations”


Sharing the Right Data Right: A Symbiosis with Machine Learning

Sharing the Right Data Right: A Symbiosis with Machine Learning Sotirios A. Tsaftaris and Hanno Scharr, In 2014 plant phenotyping research was not benefiting from the machine learning (ML) revolution because appropriate data were lacking. We report the success of the first open-access dataset suitable for ML in image-based plant phenotyping suitable for machine learning, fuelling a true interdisciplinary symbiosis, increased awareness, and steep performance improvements on key phenotyping…

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UKRI’s £3m network funding to solve life science challenges

UKRI announces Technology Touching Life Network in Plant Phenomics. PhenomUK will lead one of five research networks to share a £3 million award through a joint technology initiative that will harness new and emerging developments from engineering and physical sciences to advance discovery research in the life science. Technology Touching life is a joint initiative between…

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