Imagine a giant digital library for farms where the books never leave their home shelves, but anyone with permission can still read the information. Instead of sending all sensor data to one central cloud, the intelligence happens right on the farm equipment. This allows farmers to spot crop diseases or animal health issues early by comparing their local data with patterns from other regions without giving up control of their private information.
Farmers struggle with fragmented, heterogeneous data from various sensors that are often locked in silos. This prevents them from comparing their performance with regional trends and making informed decisions to combat climate change and reduce waste.
A distributed Agri-Environment Data Space (ADS) using Federated Deep Machine Learning and Blockchain to share knowledge without moving raw data.
If you are a software provider dealing with fragmented data from different sensor brands — this project developed a distributed data space that allows for the combination of local IoT data with regional datasets. This enables the automated identification of crop diseases and production delays across 25 types of crops.
If you are a manufacturer dealing with high greenhouse gas emissions and suboptimal production — this project developed a system using 2,500 RFID tags and IoT sensors. It helps monitor more than 2,000 animals of 5 types to improve production efficiency and environmental impact.
If you are a consultancy dealing with overirrigation and excessive fertilizer use — this project developed a decision support system using edge cloud computing and 5G. It provides real-time data from over 1,600 existing and 4,500 new sensors to protect aquifers and biodiversity.
Based on available project data, specific pricing or implementation costs are not provided, though the project focuses on creating an open source platform to reduce barriers.
Yes, the project is validated via 23 pilots in 9 countries covering more than 181,000 hectares and involving over 4,200 farmers.
Based on available project data, the project aims to introduce an open source Agri-Environment Data Space, though specific licensing terms for commercial use are not detailed.
It leverages 5G communications, edge cloud computing, and integrates with IoT sensors, drones, and Copernicus Hubs for Earth Observation data.
The project period runs from February 1, 2023, to January 31, 2029.
The consortium is heavily industry-driven with a 48% industry ratio, comprising 15 industry partners, 7 of which are SMEs. With 31 partners across 14 countries, the group balances academic research (9 partners) with practical application, indicating a strong push toward commercial viability and cross-border standardization in the EU data space.
Contact SYNELIXIS LYSEIS PLIROFORIKIS AUTOMATISMOU & TILEPIKOINONION ANONIMI ETAIRIA in Greece
Contact us to explore integration of the AgriDataValue open-source data space into your AgTech product line.
