News
Integrated Pest Management Decisions platform is now ready to use
The Integrated Pest Management (IPM) Decisions platform provides access to a range of decision support systems (DSS) for integrated pest management that can be used across Europe. IPM and DSS are useful tools enabling farmers and advisors to improve the management of weeds, diseases and invertebrate pests of crops and this platform makes systems available...
News
Data Brokerage Service and Decision Support System for Farm Management
This article is written by Karel Charvát Junior and Jaroslav Šmejkal of Lesprojekt responsible for the DEMETER pilot ‘Data Brokerage Service and Decision Support System for Farm Management’. Farmers and advisors providing services to farmers need to use large amounts of different types of data from different sources and perform analysis on this data for...
News
DEMETER partners present at IEEE COINS
The 2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS) took place in Barcelona from 1-3 August. IEEE COINS brings together experts in Digital Transformation (from AI and IoT to Cloud, Blockchain, Cybersecurity, and Robotics) from around the globe. IEEE COINS includes a multi-disciplinary program from technical research papers, to panels, workshops, and tutorials on...
News
Decision Enablers & Advisory Support – New White Paper added
DEMETER aims to lead the Digital Transformation of the European Agrifood sector based on the rapid adoption of advanced technologies, such as Internet of Things, Artificial Intelligence, Big Data, Decision Support, Benchmarking, Earth Observation, etc., to increase performance in multiple aspects of farming operations, as well as to assure the viability and sustainability of the...
News
Interview Series: Pilot 5.3 – Pollination Optimisation
In this edition of our Interview Series, we learn about Pilot 5.3 that is being led by PCSS (Poznańskie Centrum Superkomputerowo-Sieciowe). Can you tell us about your organisation and your involvement in DEMETER? The Poznań Supercomputing and Networking Center (PSNC), affiliated with the Institute of Bioorganic Chemistry of the Polish Academy of Sciences, is an internationally...
News
Full paper on Machine Learning Models for Olive Phenology Phase Prediction available
The full paper titled ‘Analysis of Copernicus’ ERA5 Climate Reanalysis Data as a Replacement for Weather Station Temperature Measurements in Machine Learning Models for Olive Phenology Phase Prediction’ was published in Sensors, a leading peer-reviewed open access journal on the science and technology of sensors. This paper, written by Noelia Oses, Izar Azpiroz, Marco Quartulli...
News
Interview Series: Diego Guidotti from Agricolus
In this edition of our interview series, we catch up with Diego Guidotti from Agricolus. Diego is the leader of the Pilot Cluster 3 within DEMETER. The cluster supports farmers in protecting the health and the quality of production, focusing on several fruit and vegetables crops in several European countries. Two pilots are crop oriented:...
News
DEMETER presented at Greencities event
At the recent Greencities event, DEMETER was presented by Antonio F. Skarmeta of Universidad de Murcia in the FIWARE session focused on ‘Digitalising the Future of Water, 2020’. The objective of the session was to analyse how to overcome pressing challenges from different perspectives and to understand how to do more with less water in...
News
Interview Series: Dr. Ing. Jaroslav SMEJKAL from LESPROJEKT
In this edition of our interview series, we talk with Dr. Ing. Jaroslav SMEJKAL from LESPROJEKT who is leading the pilot project 2.3 focusing on Data Brokerage Service and Decision Support System for Farm Management. Can you tell us a bit about yourself, your organization, and your involvement in the DEMETER project? My name...
Events News
DEMETER paper on Machine Learning for olive phenology prediction presented at GIOTS.
The DEMETER pilot project focusing on Decision Support Systems to support olive growing was presented recently at the virtual Global IoT Summit (GIOTS). The presentation and paper focused on ‘Machine Learning for olive phenology prediction and base temperature optimisation’ and was delivered by Noelia Oses, Izar Azpiroz, Marco Quartulli and Igor García of Vicomtech and...
