Smart Integrated Livestock Farming: integrating user-centric & ICT-based decision support platform
Project information
Smart Integrated Livestock Farming: integrating user-centric & ICT-based decision support platformCall: ICT and Automation for a Greener Agriculture
Id: 14302
Acronym: SILF
Duration:
Consortium:
| No | Partner | Contact | Country | Total 1000€ | Funded 1000€ | Funder |
|---|---|---|---|---|---|---|
| 1 Coord. | Department of Engineering Aarhus School of Engineering Aarhus University | Claus Sørensen | Denmark | 189.8 | 172.7 | Danish AgriFish Agency Ministry of Food, Agriculture and Fisheries |
| 2 | Division of Agricultural Structures and Agricultural Machinery Department of Natural Resources Management and Agricultural Engineering Agricultural University of Athens | Thomas Bartzanas | Greece | 96.0 | 82.0 | Managing Authority of the Rural Development Plan Ministry of Rural Development & Food |
| 3 | UCD School of Biosystems Engineering College of Engineering and Architecture University College Dublin | Nicholas holden | Ireland | 265.0 | 225.0 | Department of Agriculture, Food and the Marine (DAFM) |
| 4 | Institute for Agricultural and Fisheries Research (ILVO) | Annelies Van Nuffel | Belgium | 89.0 | 89.0 | Institute for Agricultural and Fisheries Research (ILVO) |
| 5 | Porphyrio NV | Kristof Mertens | Belgium | 128.0 | 61.5 | Institute for Agricultural and Fisheries Research (ILVO) |
| 6 | Production Animal Research Biotechnology and Food Research Economic Research Plant Production Research Senior Research Scientist MTT Agrifood Research Finland | Mikko Jarvinen | Finland | 90.8 | 45.4 | Ministry of Agriculture and Forestry |
| 7 | Agro Intelligence ApS | Ole Green | Denmark | 82.4 | 26.9 | Danish AgriFish Agency Ministry of Food, Agriculture and Fisheries |
Summary:
In this project we will develop an evaluation platform that demonstrates through research the potential for an Internet of Things (IoT) enabled FMIS with animal-centric ICT, production databases & best practice standards to assist farmers optimise sustainable livestock production. In this respect SILF will take an integrated approach to solving issues with environmental impact and animal welfare during livestock production. Previously developed smart farming sensing systems for lameness detection in dairy production will be robustified, validated and evaluated against other available systems in different member states. The commercial/environmental benefit of these systems alongwith 'object-connected ICT' will be realised through specific business-models and lifecycle costing for farming systems. To entice innovation adoption these benefits will be disseminated through different means, e.g. through the use of a virtual farm simulator
