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RBGKEW1308 Expanding the use of Artificial Intelligence (AI) in root fungal colonisation assessment

Royal Botanic Gardens Published 25 Oct 2024 Contracts Finder

key details

Value£500,000
Statuscomplete
Category (CPV) 73000000
RegionLondon
Deadline15 Aug 2024
Procedureopen
OCIDocds-h6vhtk-047daa

Awards (2)

This procurement was awarded to 1 suppliers. Values shown are per-award; the notice total is £500,000.

SupplierValueDateStatus
D-fine GmbH £500,000 14 Aug 2024 active
D-fine GmbH · · active

description

RBG Kew require a consultancy service, to expand the work developed during phase 1, to adapt AMFinder, an AI visualisation tool developed by Evangelisti et al (2021) to assess fungal-colonisation, for use with more complex field root samples. The work in phase 2 would focus on improving the accuracy of the outputs that AMFinder generates and expanding its functionality to detect different mycorrhizal types. This will build on the preliminary work carried out in phase 1, exploring the potential of a semi-supervised learning approach, and improving the user experience of the tool, by editing the dashboard interfaces and developing pipelines. The AMFinder tool should provide a method for rapid quantification of fungal colonisation in plant roots. Input to the tool will be images of ink-stained fungal structures inside roots mounted on microscopy slides, taken with a digital slide scanner (Panoramic Midi II) at RBG Kew. Adherence to data regulation and standards is essential.

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notice history

4 notices published against this procurement.

PublishedTypeRegimeNotice
16 Jul 2024 Contract notice (F02) Earlier regulations 021794-2024
16 Jul 2024 Tender (tender) · 8e3b931e-2961-4d24-af1c-69b3cf00d3ca-767545
25 Oct 2024 Contract award notice (F03) Earlier regulations 034768-2024
25 Oct 2024 Award (award) · 806fcb5c-a6d7-4f28-ae3c-d015408f46ad-797416

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