A UK Next Stage Digital Economy Research Centre


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Adopting IoT and AI Technologies for Efficient Digital Transformation in the Agribusiness Sector

Lead DIGIT Lab Academics: Professor Gerard Parr, Dr Hane Aung, Dr Ben Milner, Dr Edwin Ren, Dr Yusuf Tukur

We are focused on how to initiate environmental settings to accelerate plant growth, and derive optimal environment settings for plant growth, by learning from the previously collected data. We aim to determine which methods are best for making informed decisions, and justifying the potential benefits of digital transformation to agribusinesses (efficiency and timesaving). We deployed IoT sensors in farm fields collecting data about plants and the environment, and applied AI to analyze the data (e.g. plant health, nutrient/moisture requirements, current environment state) to help farmers increase efficiency and optimal productivity.

UEA worked with Agri-TechE delivering a workshop to understand the current digital landscape within agri-tech business and the expectations of businesses embarking on a digital journey and how digital technology adoption impacts their efficiency and productivity. A solution is being developed at the UEA (smart seed testbed), to address key challenges identified from the workshop. A full report was produced and research for publication is ongoing. Read the full report

Supported by

  • EPSRC Digital Security & Resilience (DS&R) Theme