Abstract
Farming is facing many economic challenges in terms of productivity and cost-effectiveness. Labor shortage partly due to depopulation of rural areas, especially in Europe, is another challenge. Domain specific problems such as accurate identification and proper quantification of pathogens affecting plant and animal health are key factors for minimizing economical risks, and not risking human health. The ECSEL AFarCloud (Aggregate FARming in the CLOUD) project will provide a distributed platform for autonomous farming that will allow the integration and cooperation of agriculture Cyber Physical Systems in real-time in order to increase efficiency, productivity, animal health, food quality and reduce farm labour costs. This platform will be integrated with farm management software and will support monitoring and decision-making solutions based on big data and real-time data mining techniques.
| Original language | English |
|---|---|
| Title of host publication | unknown |
| Editors | Nikos Konofaos, Paris Kitsos |
| Publisher | IEEE |
| Pages | 414-419 |
| Number of pages | 6 |
| ISBN (Electronic) | 978-1-7281-2862-7, 9781728128610 |
| ISBN (Print) | 978-1-7281-2863-4 |
| DOIs | |
| Publication status | Published - Oct 2019 |
| Event | 22nd Euromicro Conference on Digital System Design, DSD 2019 - Kallithea, Chalkidiki, Greece Duration: 28 Aug 2019 → 30 Aug 2019 |
Publication series
| Name | Proceedings - Euromicro Conference on Digital System Design, DSD 2019 |
|---|
Conference
| Conference | 22nd Euromicro Conference on Digital System Design, DSD 2019 |
|---|---|
| Country/Territory | Greece |
| City | Kallithea, Chalkidiki |
| Period | 28/08/19 → 30/08/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 2 Zero Hunger
Keywords
- Agriculture
- Monitoring
- Animals
- Real-time systems
- Sensors
- Production
- Europe
- autonomous and semi-autonomous vehicles
- autonomy and cooperation
- crop monitoring
- Cyber-Physical Systems
- farming robots
- Livestock management
- Smart & Precision Farming
Project and Funding Information
- Project ID
- info:eu-repo/grantAgreement/EC/H2020/783221/EU/Aggregate Farming in the Cloud/AFarCloud
- Funding Info
- The AFarCloud project is funded from the ECSEL Joint Undertaking under grant agreement n° 783221, and from National funding.
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