The H2020 DEMETER project is a large-scale deployment of farmer-driven, interoperable smart farming-IoT (Internet of Things) based platforms, delivered through a series of 20 pilots across 18 countries (15 EU countries). Involving 60 partners, DEMETER adopts a multi-actor approach across the value chain (demand and supply), with 25 deployment sites, 6,000 farmers and over 38,000 devices and sensors being deployed.
DEMETER’s goal is to lead the digital transformation of Europe’s agri-food sector through the rapid adoption of advanced IoT technologies, data science and smart farming, ensuring its long-term viability and sustainability.
Our key objective is to empower farmers and farmer cooperatives to a) use their existing platforms and machinery to extract new knowledge to improve their decision making and b) ease the acquisition, evolution and updating of their platforms, machinery and sensors by focusing their investments where these are needed.
60
European Partners
6000
Farmers
38000
Devices & sensors
25
Deployment sites
In the DEMETER project, pilots are used to demonstrate and evaluate how innovations and extended capabilities benefit from the interoperability mechanisms employed. Equally, these pilots monitor the evolution of the maturity level in the stakeholders involved. These pilots have been organised into five major clusters.
As part of the DEMETER project, workshops and events are organised relating to key themes and project deliverables. Upcoming events related to the project and the agri-food sector are outlined below.
Researchers in DEMETER from the Institute of Communications and Computer Systems, Athens, Greece; Walton Institute, Ireland; University of Murcia, Spain; Waterford Institute of Technology, Ireland and Odin Solutions, Spain have…
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DEMETER follows a multi-actor approach (MAA) ensuring that newly developed technical solutions meet real life needs. Farmers are a key stakeholder group within the DEMETER ecosystem. Understanding their needs, interests…
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The article “Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse”, developed under H2020 DEMETER has been selected as an “Editor’s Choice…
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