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| Source: | Find a Tender Service (FTS) |
| Notice Type: | Tender notice |
| Buyer: | Royal Botanic Gardens |
| Main Category: | Services |
| Procurement Method: | Open procedure |
| Tender Status: | Complete |
| Estimated Value (ex. VAT): | £500,000 |
Pipeline status
Not addedContract imported automatically · AI writes the response
Application Deadline
15 August 2024
Closed
Estimated Value
£500,000
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| 16 July 2024 |
| Application Deadline: | 15 August 2024 |
| Procurement ID (OCID): | ocds-h6vhtk-047daa |
| Notice Reference: | 021794-2024 |
All 2 notices for this procurement, oldest first.
RBGKEW1308 Expanding the use of Artificial Intelligence (AI) in root fungal colonisation assessment
Earlier notices predate the Procurement Act 2023 (commenced 24 Feb 2025) and therefore don't carry UK1–UK17 codes.
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.
Document pack· 1 file