Dr Oluseye Oludoye, Tesside University

Seeing is Believing: Behavioural Profiling and AI Previews to Build Trust in Pest Management Tools

Award Details

Award Type:Accelerator
Commissioning Fund Theme:Use of AI in behavioural research
Lead Applicant:Dr Oluseye Oludoye 
Amount Awarded:£48,275 FEC
Administering Institution:Teesside University 
Start Date:14th April 2026
Duration:18 months
Project Partners:RSK ADAS Ltd

Research Summary

Although digital tools exist to help farmers reduce pesticide use, many UK smallholders still avoid them. This project focuses on one such tool: IPM Decisions, a pan-European platform offering real-time pest forecasts to support Integrated Pest Management (IPM). Despite its scientific value, smallholder farmers often find these tools hard to trust, confusing to explore, or irrelevant to their day-to-day needs. In collaboration with ADAS and DEFRA, this project asks: Can we make decision-support tools more appealing by showing farmers what they missed? We will co-design a simple “preview tool” that uses open-access pest data to show what the past season’s pest risks looked like for a given crop and location. The tool will also let users “play” with basic settings, like adjusting spray dates, to explore how different decisions might have changed outcomes. This interactive feature is designed to build confidence, curiosity, and trust without needing a full account or training. Working closely with smallholders, we will test whether this low-effort, gamified insight improves trust, understanding, and willingness to use the full platform. A hands-on workshop will test the prototype with different types of users (e.g. tech-sceptical, cautious, overwhelmed), and the findings will inform policy and design improvements. By combining behavioural science and AI-driven personalisation, this project will help bridge the gap between innovation and adoption, making sustainable farming tools more useful, usable, and used by the people who need them most. 

Expected Deliverables, Outputs and Outcomes

1. Behavioural Diagnostics Report – Key WP1 survey insights, including segmented farmer types and adoption barriers. 

2. Behavioural Personas – Visual profiles of low-uptake groups for DEFRA, ADAS, and developers. 

3. AI-Assisted Preview Tool Prototype – Logic document, interface sketches, and annotated outputs showing how past-season pest data can demonstrate DSS value, with simple interactive features (e.g., spray date changes). 

4. Workshop Evaluation Brief – Summary of co-design feedback on usability, trust, and engagement. 

5. Policy Brief & Infographic – Concise recommendations on integrating retrospective tools into DSS onboarding and IPM adoption strategies. 

  

Expected Outcomes: 

  • Clearer Understanding of Behavioural Barriers – From the diagnostics and personas, DEFRA, ADAS, and developers gain actionable insight into trust, complexity, and relevance gaps driving DSS non-use. 
  • Design Guidance for Retrospective Tools – Prototype and workshop findings inform how interactive, low-effort previews can build trust and engagement among hesitant farmers. 
  • Policy and Communication Recommendations – Policy brief translates findings into strategies for targeting low-trust, low-engagement groups in line with the Sustainable Use of Pesticides Action Plan. 
  • Foundation for AI–Behavioural Innovation – Demonstrates a scalable, behaviourally informed DSS onboarding approach for future pilots and integrations. 

Research Team

Name 

Organisation 

Role  

Dr Oluseye Oludoye Teesside UniversityPrincipal Investigator

Dr Holly Alpren, Pesticide Scientist

DEFRA 

Co-Investigator

Dr Mark Ramsden IPM Principal Consultant, Head of Arable Entomology

ADAS 

Researcher 

Dr Rosie Knapp, IPM Consultant

ADAS 

Researcher 

Dr Chidimma Opara, Lecturer in Computer Science, School of Computing, Engineering and Digital Technologies

Teesside University 

Co-Investigator