UKCropDiversity‐HPC: A collaborative high‐performance computing resource approach for sustainable agriculture and biodiversity conservation

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Publicado en:Plants, People, Planet vol. 7, no. 4 (Jul 1, 2025), p. 969
Autor principal: Percival‐Alwyn, Lawrence
Otros Autores: Barnes, Ian, Clark, Matthew D., Cockram, James, Coffey, Michael P., Jones, Susan, Kersey, Paul J., Kidner, Catherine A., Kosiol, Carolin, Li, Bingjie, Marsh, William A., Zhou, Ji, Caccamo, Mario, Milne, Iain
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John Wiley & Sons, Inc.
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024 7 |a 10.1002/ppp3.10607  |2 doi 
035 |a 3219382618 
045 0 |b d20250701 
100 1 |a Percival‐Alwyn, Lawrence  |u Niab, Cambridge, UK 
245 1 |a UKCropDiversity‐HPC: A collaborative high‐performance computing resource approach for sustainable agriculture and biodiversity conservation 
260 |b John Wiley & Sons, Inc.  |c Jul 1, 2025 
513 |a Journal Article 
520 3 |a Societal Impact Statement Diverse gene pools are fundamental to crop improvement, biodiversity maintenance and environmental management. The UKCropDiversity‐HPC high‐performance computing resource enables seven UK institutes to perform plant and conservation research with increased efficiency, cost‐effectiveness and environmental sustainability. It supports research across numerous areas, including bioinformatics, genetics, phenomics and conservation ‐ including Artificial Intelligence approaches. Its utilisation supports many United Nations Sustainable Development Goals, including Goals‐2 (Zero Hunger), −13 (Climate Action), −15 (Life on Land), −9 (Industry, Innovation and Infrastructure) and −4 (Quality Education). Accordingly, UKCropDiversity‐HPC helps maximise the societal impact of research undertaken at our seven institutes, driving positive change for future generations. 
610 4 |a United Nations--UN 
651 4 |a United Kingdom--UK 
653 |a Software 
653 |a Computation 
653 |a Artificial intelligence 
653 |a Collaboration 
653 |a Bioinformatics 
653 |a Biodiversity 
653 |a Quality of education 
653 |a Conservation genetics 
653 |a Data processing 
653 |a Data analysis 
653 |a Crop improvement 
653 |a Genomics 
653 |a Research & development--R&D 
653 |a Environmental management 
653 |a Energy consumption 
653 |a Climate change 
653 |a Sustainable agriculture 
653 |a Machine learning 
653 |a Infrastructure 
653 |a Sustainable development 
653 |a Computer vision 
653 |a Climate action 
653 |a Genetics 
653 |a Plant sciences 
653 |a Conservation 
653 |a Hunger 
653 |a Ecosystem biology 
653 |a High performance computing 
653 |a Sustainable Development Goals 
653 |a Economic 
700 1 |a Barnes, Ian  |u The Natural History Museum, London, UK 
700 1 |a Clark, Matthew D.  |u The Natural History Museum, London, UK 
700 1 |a Cockram, James  |u Niab, Cambridge, UK 
700 1 |a Coffey, Michael P.  |u SRUC Scotland's Rural College, Roslin Institute, Midlothian, UK 
700 1 |a Jones, Susan  |u The James Hutton Institute, Dundee, UK 
700 1 |a Kersey, Paul J.  |u Royal Botanic Gardens, Richmond, UK 
700 1 |a Kidner, Catherine A.  |u Royal Botanic Garden Edinburgh, Edinburgh, UK 
700 1 |a Kosiol, Carolin  |u University of St Andrews, St Andrews, UK 
700 1 |a Li, Bingjie  |u SRUC Scotland's Rural College, Roslin Institute, Midlothian, UK 
700 1 |a Marsh, William A.  |u The Natural History Museum, London, UK 
700 1 |a Zhou, Ji  |u Niab, Cambridge, UK 
700 1 |a Caccamo, Mario  |u Niab, Cambridge, UK 
700 1 |a Milne, Iain  |u The James Hutton Institute, Dundee, UK 
773 0 |t Plants, People, Planet  |g vol. 7, no. 4 (Jul 1, 2025), p. 969 
786 0 |d ProQuest  |t Publicly Available Content Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3219382618/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3219382618/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3219382618/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch