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Project cooperationUpdated on 7 April 2025

ZEROPOLLUTION-07: Provide digital solutions tailored to small and medium-sized farms to monitor and sustainably manage agricultural inputs and natural resources

Liangxiu Han

Professor of Computer Science, Faculty Lead for AI,Digital and Cyber Physics Systems Theme at Manchester Metropolitan University

Manchester, United Kingdom

About

We offer AI- and big data-enabled digital solutions tailored for small and medium-sized farms, focused on the sustainable management of inputs and natural resources such as fertilisers, and soil health. Our platform combines UAV, IoT, and mobile-based monitoring tools with AI-powered analytics to support on-farm decision-making at low cost and with minimal infrastructure requirements.

Our approach emphasizes scalability, simplicity, and affordability, ensuring that resource-limited farms can benefit from digitalisation. We have experience co-developing solutions with farmers, agri-tech SMEs, and extension services in previous projects.

Role in the Consortium
We seek to join as a technology and implementation partner, contributing:

  • AI tools and mobile platforms for input/resource monitoring

  • UAV and IoT integration for low-cost sensing and analytics

  • Farmer-centred design, training materials, and digital decision support

  • Validation, deployment, and feedback loops with farming communities

Type of Partner Sought
We are looking for:

  • Small farm networks, cooperatives, or living labs for field validation

  • Extension services and NGOs to support user training and adoption

  • Socio-economic or policy researchers to assess impact and scalability

Type of Cooperation Sought: Partner

Stage

  • Early stage

Type

  • Partner looking for consortium
  • Coordinator looking for partners

Organisation

Manchester Metropolitan University

R&D Institution

Manchester, United Kingdom

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