Register
Register
Register

Project cooperationUpdated on 7 April 2025

FARM2FORK-08-AI-enabled monitoring and optimisation tools for controlled environment farming; seeking tech users, growers, and testbeds.

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 sensor-enabled solutions for real-time monitoring, optimisation, and decision support in controlled environment agriculture (CEA) systems such as vertical farms, greenhouses, and growth chambers. Our platform integrates environmental sensors, imaging, and machine learning models to improve energy use, crop health, yield prediction, and resource efficiency.

We have extensive experience in precision horticulture and plant phenotyping, including integration of robotics, digital twins, and automated nutrient/disease diagnostics, supported by UKRI and industry collaborations.

Role in the Consortium
We aim to join as a technology and analytics partner, contributing:

  • AI-based control systems for optimising environmental conditions

  • Imaging and data integration for crop monitoring and phenotyping

  • Decision support for sustainable input use and productivity

  • Interfaces for growers and system managers

Type of Partner Sought
We are looking for:

  • CEA facilities, vertical farms, and greenhouse operators for testing and validation

  • Agronomy and plant science researchers for model refinement

  • Policy and industry partners interested in sustainable and scalable CEA solutions

Type of Cooperation Sought: Partner

Stage

  • Early stage

Organisation

Manchester Metropolitan University

R&D Institution

Manchester, United Kingdom

Similar opportunities