Company Active PRIVATE-LIMITED-GUARANT-NSC

Company profile

Processors & Growers Research Organisation

PGRO

Processors & Growers Research Organisation is a UK company with status active founded in 1956 based in East of England.

CRN
00567232
Founded
1956
Age
70

Overview

Legal name
PROCESSORS & GROWERS RESEARCH ORGANISATION
Region
East of England
Registered address
GREAT NORTH ROAD
THORNHAUGH
PETERBOROUGH
PE8 6HJ
Insolvency history
No

Corporate ownership

Updated 06 Jun 2026 16:52

Processors & Growers Research Organisation
No active corporate controller recorded.

Company events

Reference milestones and recent Companies House filing stream events.

10 events
26 Apr
2027

Confirmation statement due

Confirmation Due

Next confirmation statement due date

30 Sep
2026

Accounts due

Accounts Due

Next accounts due date

02 Jul
2026

Termination Director Company With Name Termination Date

Officers

TM01 | Transaction MzUzMDA0ODk0MmFkaXF6a2N4

Published 02 Jul 2026 10:21

02 Jul
2026

Termination Director Company With Name Termination Date

Officers

TM01 | Transaction MzUzMDA0ODkzNGFkaXF6a2N4

Published 02 Jul 2026 10:20

12 Apr
2026

Confirmation statement filed

Confirmation

Last confirmation statement made up date

07 Apr
2026

Termination Director Company With Name Termination Date

Officers

TM01 | Transaction MzUxNDc2MDQ4OWFkaXF6a2N4

Published 07 Apr 2026 13:48

07 Apr
2026

Termination Director Company With Name Termination Date

Officers

TM01 | Transaction MzUxNDc2MDQ3OGFkaXF6a2N4

Published 07 Apr 2026 13:48

07 Apr
2026

Termination Director Company With Name Termination Date

Officers

TM01 | Transaction MzUxNDc2MDM5NmFkaXF6a2N4

Published 07 Apr 2026 13:47

31 Dec
2024

Accounts filed

Accounts

Last accounts made up date

07 Jun
1956

Incorporated

Inception

Company registered at Companies House

Public funding

17 awards
First funded
2010
Funded years
2010, 2011, 2012, 2013, 2014, 2018, 2019, 2021, 2022, 2023, 2024, 2025
Age at first award
54 years

Projects

2025 Collaborative R&D

SECURESeed II: Scaling Sustainable Seed Coatings for Field Trials

1 Apr 2025 to 30 Sep 2026

Awarded
£23,134
Total cost £33,049

**SECURESeed II: Scaling Sustainable Seed Coatings for Field Trials** is a critical project aimed at addressing the urgent need for sustainable plant protection products. This highly innovative project is focused on improving the performance of **Plant Beneficial Microbes (PBMs)** through advanced seed coating technology using 100% plastic free, natural a...

2024 Collaborative R&D

Alleviating nutritional stress for wider environmental rewards in sustainable UK protein crop production

1 Aug 2024 to 31 Jul 2027

Awarded
£319,670
Total cost £456,671

There are growing market demands for plant-based proteins and crops that add diversity to the crop rotation. This reflects consumer trends towards "sustainable" foods and the need for farmers to increase incomes whilst reducing environmental impacts. In these respects, field beans provide considerable opportunity. They naturally fix nitrogen (N), can be u...

2023 EU-Funded Lead participant

Breeding European Legumes for Increased Sustainability

1 Oct 2023 to 30 Sep 2028

Awarded
£47,392
Total cost £47,392

The aim of BELIS is (i) to increase the competitiveness of the EU and Associated Countries legume breeding industry by improving the methodologies and the governance structures of the breeding sector; (ii) to design conditions that allow an efficient delivery of the achieved genetic progress to the breeders and seed industry, and to the other actors (regi...

2023 Collaborative R&D Lead participant

Nitrogen efficient plants for climate smart arable cropping systems (NCS)

1 Apr 2023 to 31 Mar 2027

Awarded
£472,403
Total cost £674,862

The UK Processors and Growers Research Organisation will lead this ambitious national research programme with 200 UK farms and 18 partners to design an environmentally transformative, economically sustainable arable rotation system to optimise crop rotations for climate benefit. UK farming accounts for 10% of the UK's total GHG emissions p/a (46.3 MT), 68...

2023 Collaborative R&D

PeaProtein

1 Apr 2023 to 31 Mar 2028

Awarded
£65,038
Total cost £65,038

The biggest consumer trend in the UK food sector is in plant-based food, with sales of meat alternatives expected to be £1.1 billion by 2024, with a 30% year to year growth, and £565 million for dairy alternatives (48% and 38% growth year on year for milk and cheese alternatives, respectively). Currently the largest source of plant-based protein is soy de...

2022 Collaborative R&D Lead participant

Development and provision of a digital platform enabling industry to predict harvest date and yield of vining pea

1 Sep 2022 to 29 Feb 2024

Awarded
£51,145
Total cost £113,655

Vining peas mature rapidly in warm weather and must therefore be harvested within a 1-2-day window to ensure optimal tenderness and high quality. Once harvested, they must be transported and frozen within 150 minutes to maintain this quality. These limitations often lead to inefficient processing schedules and wasteful crop bypassing during periods of rap...

2021 Collaborative R&D

Scaled-up Production and Validation of Midge and Weevil Pheromones for Pest Management

1 Apr 2021 to 30 Sep 2022

Awarded
£52,100
Total cost £52,100

Midges and weevils are significant global pests of legume food production. Management of these pests provides a potentially lucrative and growing market in the pest management industry globally, including in the UK, continental Europe, North Africa and North America, where these pest problems are well established. Management of midges and weevils is probl...

2019 Knowledge Transfer Partnership

University of Nottingham and Processors & Growers Research Organisation

1 Sep 2019 to 31 Aug 2022

Awarded
Unknown

To address wastage and processing inefficiencies in vining peas by predicting yield and quality to enable efficient scheduling of harvest and processing.

2018 Collaborative R&D

Improving productivity in pea, bean and legume growing through advanced data analytics, machine learning and artificial intelligence techniques

1 Oct 2018 to 31 Dec 2020

Awarded
£197,488
Total cost £197,488

"Each year the UK imports \>3Million Tonnes of soya protein for use in the pig, poultry and dairy sectors, 98% from South America (the growth of soy plantations being a key factor in the forced eviction of many rural communities, excessive pesticide use and deforestation). It is widely recognised that the UK could cut its dependency on imported soya by \>...

2018 BIS-Funded Programmes Lead participant

Development of a diagnostic tool to assess risk levels of pea foot rot pathogens in soils

1 Jan 2018 to 31 Mar 2019

Awarded
£72,075
Total cost £131,045

Foot rot disease in peas causes great yield losses and reduces the quality of peas. The disease is caused by several pathogens in soils which cannot be chemically controlled. Severity of disease is determined by pathogen levels in soils, soil structure and weather conditions. Measuring pathogen levels in soil before planting peas holds the potential to re...

2014 BEIS-Funded Programmes Lead participant

Lure-and-kill technology to manage beetle pests (Sitona lineatus and Bruchus rufimanus) of field beans and peas

1 Oct 2014 to 31 Dec 2018

Awarded
£213,691
Total cost £356,152

This project aims to design and produce a control system for beetle pests of peas and beans, which does not use blanket sprays of insecticides. Instead, the beetles will be lured to simple devices, baited with beetle specific attractive odours, where they will be coated with spores of an insect fungal disease. When they leave the device they will spread t...

2013 Feasibility Studies Lead participant

Novel computer vision techniques for food quality analysis - identification of Bruchus rufimanus (bean seed beetle) damage in field beans (Vicia faba) for export for human consumption

1 Oct 2013 to 30 Sep 2014

Awarded
£42,680
Total cost £56,906

The project will aim to analyse field bean produce for human consumption for the the presence of adult Bruchus rufimanus (bean seed beetle) and larval damage. The study will review, test and develop computer state of the art vision algorithms suitable for detecting, selecting and classifying the beans most effectively. A methodology/demonstrator will be p...

Product types

BEIS-Funded Programmes BIS-Funded Programmes Collaborative R&D EU-Funded Feasibility Studies Knowledge Transfer Partnership