---
title: "Innovative Technological Solutions For Sea Fisheries Control And Enforcement - Machine Learning"
ocid: "ocds-b5fd17-12653a85-b897-4483-a354-e92e71050b90"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-12653a85-b897-4483-a354-e92e71050b90"
markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-12653a85-b897-4483-a354-e92e71050b90.md"
json_url: "https://d3tenders.com/contract/ocds-b5fd17-12653a85-b897-4483-a354-e92e71050b90.json"
source: "Contracts Finder"
current_stage: "Tender"
buyer: "DEFRA NETWORK ETENDERING PORTAL"
published: "2020-01-15"
---

# Innovative Technological Solutions For Sea Fisheries Control And Enforcement - Machine Learning

Buyer: DEFRA NETWORK ETENDERING PORTAL  
Current stage: Tender  
OCID: ocds-b5fd17-12653a85-b897-4483-a354-e92e71050b90

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## Summary

The procurement process titled "Innovative Technological Solutions For Sea Fisheries Control And Enforcement - Machine Learning" is initiated by the Defra Network eTendering Portal based in York, England. This open tender falls under the industry category of technical analysis or consultancy services and has a total value of £50,000. The tender period closes on 4th February 2020, with contract execution expected to commence on 18th February 2020 and run until 29th May 2020. This process aims to explore the application of machine learning and artificial intelligence in enhancing fisheries control and enforcement methods.

This tender presents a significant opportunity for businesses specialising in machine learning, data analysis platforms, or those with experience in compliance and enforcement systems. Companies that can demonstrate innovative solutions tailored to the fishing industry or have a background in handling big data analytics would be particularly well-positioned to compete. Given the focus on improving the efficiency of vessel inspections and enforcement methods, SMEs in the technology and consultancy sectors could benefit greatly from this opportunity.

## Notice

Defra and the Marine Management Organisation (MMO) would like to better understand the practicalities of using machine learning (and related areas such as artificial intelligence) for the purposes of fisheries control and enforcement. A desk-based exercise is required to build on previous Artificial Intelligence (AI) proof of concept work undertaken in 2018 looking at improving the efficiency and effectiveness of vessel inspections that take place at sea. Machine learning used in analysis platforms has the potential to enable fishing activity to be identified and corroborated automatically, identifying apparent anomalies that characterise possible IUU fishing activity to be focussed on and analysed further. This has the potential to encourage greater levels of compliance, provide comprehensive intelligence and enable more efficient and effective enforcement methods. Data analysis platforms specialise in collecting large quantities of data ('big data') and analyse it through specific algorithms to reveal patterns, trends and associations. These platforms can present data to enforcement authorities through an intuitive interface to visualise complex data associations and create clear actionable outputs in the form of intelligence reports and real-time alerts for example. Data platforms support the current risk-based intelligence led approach to operational planning and enforcement. We are keen to understand which existing projects or areas of work where machine learning and artificial intelligence is being trialled or currently used that has applicability to fisheries control and enforcement. Additional information: Please note that Defra procurement uses an E-tendering system for Procurement activities. This is currently provided by Bravo Solutions. To access appropriate tendering and contractual documents, please access the E-Tendering portal at https://defra.bravosolution.co.uk", ensuring that your registration includes "Defra". If you have any problems with this system, please contact Bravo on their telephone helpline number 0800 368 4850 or by emailing them at help@bravosolution.co.uk.

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Contracts Finder |
| Latest notice | https://www.contractsfinder.service.gov.uk/Notice/c6ab79f0-d17c-4b78-8e5b-432765fc9cd0 |
| Notice type | Tender Notice |
| Procurement type | Standard |
| Procurement category | Services |
| Procurement method | Open |
| Procurement method details | Open procedure (below threshold) |
| Tender suitability | SME |
| Awardee scale | Not specified |
| All stages | Tender |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 15 Jan 2020 |
| Submission deadline | 4 Feb 2020 |
| Future notice date | Not specified |
| Award date | Not specified |
| Contract period | 18 Feb 2020 - 29 May 2020 |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | £50,000 |
| Lots value | Not specified |
| Awards value | Not specified |
| Contracts value | Not specified |

## Status

| Field | Value |
| --- | --- |
| Tender status | Active |
| Lots status | Not specified |
| Awards status | Not specified |
| Contracts status | Not specified |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | DEFRA NETWORK ETENDERING PORTAL |
| Locality | YORK |
| Post town | York |
| Postcode | YO1 7PX |
| Country | England |
| ITL 1 | TLE Yorkshire and The Humber |
| ITL 2 | TLE2 North Yorkshire |
| ITL 3 | TLE21 York |
| Local authority | York |
| Electoral ward | Guildhall |
| Westminster constituency | York Central |
| Delivery location | Not specified |

## CPV Codes

### Divisions

- 71 - Architectural, construction, engineering and inspection services

### Codes

- 71621000 - Technical analysis or consultancy services

## Release History

- 15 Jan 2020 at 15:50 - Tender - Tender Notice - https://www.contractsfinder.service.gov.uk/Notice/c6ab79f0-d17c-4b78-8e5b-432765fc9cd0

## Documents

- https://www.contractsfinder.service.gov.uk/Notice/c6ab79f0-d17c-4b78-8e5b-432765fc9cd0
  15th January 2020 - Opportunity notice on Contracts Finder

## Notice URLs

- https://defra.bravosolution.co.uk

## Provenance

This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-b5fd17-12653a85-b897-4483-a354-e92e71050b90. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-b5fd17-12653a85-b897-4483-a354-e92e71050b90.json.
