This project aims to bridge the gap between Ireland's dairy farmers and policy makers to further encourage and support the decarbonisation of Ireland's agri-sector

Project Insights

  • €196,042

    Total Project Costs
  • 3 yr

    Project Duration
  • 2019

    Year Funded

Project Description

Increasing milk production volumes since the removal of EU milking quotas is expected to continue as Government policy has put forward ambitious targets for the agri-food sector aiming for an 85% increase in exports by 2025. This expansion is in direct conflict with achieving 2030 EU greenhouse gas (GHG) emissions targets, aiming to reduce GHG emissions by 30% by 2030, compared to 2005 levels. The continual monitoring of dairy related GHG emissions and provision of suitable avenues for intervention is essential for Ireland to meet its future energy and environmental obligations while maintaining dairy production and export targets. This project will tackle this problem by developing the National Artificial Intelligent Dairy Energy Application (NAIDEA), which will enable state agencies and dairy industry stakeholders to quantify the carbon footprint of milk production, and identify energy inefficient dairy farms through integrating existing national dairy survey and advanced AI technologies. NAIDEA will leverage existing state-of-the-art knowledge on the application of AI for dairy energy consumption, incorporating advanced AI and data-mining methods to optimise its self-learning capabilities. Through integration with existing dairy energy platforms (DSSED), NAIDEA aims to support policy makers in relation to supports for energy efficient technologies (e.g. solar PV), provide a direct deliverable for use by Bord Bia's Origin Green programme, and may also inform future CAP payments through a credit based system for farms conducting energy efficient activities.

Project Details

Total Project Cost: €196,042

Funding Agency: SEAI

Year Funded: 2019

Lead Organisation: Cork Institute of Technology (CIT)

Collaborators: Bord Bia; Teagasc

Michael D. Murphy | Lead Researcher(s)