Combination of indoor and outdoor data for improved farm management
Project information
Combination of indoor and outdoor data for improved farm managementCall: Farm Management Systems for Precision Farming
Id: 37729
Acronym: CowData
Consortium:
| No | Partner | Contact | Country | Total 1000€ | Funded 1000€ | Funder |
|---|---|---|---|---|---|---|
| 1 | Automation and labour organisation Agroscope | Christina Umstaetter | Switzerland | 45.0 | 0.0 | Federal Office for Agriculture - Bundesamt für Landwirtschaft |
| 2 Coord. | Agricultural System Engineering Agricultural Economics and Engineering Agroscope Reckenholz-Taenikon Research Station ART | Marianne Cockburn | Switzerland | 149.0 | 110.0 | Federal Office for Agriculture - Bundesamt für Landwirtschaft |
| 3 | Agrifood Technology Technology & Food Science Unit Institute for Agricultural and Fisheries Research (ILVO) | Stephanie Vanweyenberg | Belgium | 76.3 | 42.1 | Flanders Innovation & Entrepreneurship |
| 4 | Johann Heinrich von Thünen-Institute, Federal Research Institute for Rural Areas, Forestry and Fisheries | Kerstin Barth | Germany | 74.0 | 74.0 | Federal Ministry of Food and Agriculture |
| 5 | Signum Engineering | Kris Demets | Belgium | 139.5 | 76.7 | Flanders Innovation & Entrepreneurship |
| 6 | HU Berlin - Faculty of Life Sciences,Department of Animal Husbandry and Technology | Edna Hillmann | Germany | 102.0 | 102.0 | Federal Ministry of Food and Agriculture |
| 7 | Agricultural System Engineering Agricultural Economics and Engineering Agroscope Reckenholz-Taenikon Research Station ART | Roy Latsch | Switzerland | 39.0 | 0.0 | Federal Office for Agriculture - Bundesamt für Landwirtschaft |
The aim of this project is to demonstrate the advantages of a generic data platform. By means of case studies, we will showcase how existing sensor prototypes can be combined with additional on farm (sensor) data, to build new applications and improve decision support systems. The first case study will focus on grassland based production systems. Grassland based production systems often offer a possibility to use marginal land in LFAs (Less Favoured Area) that could otherwise not be used. The second case study will focus on behavioural monitoring. The aim of the second case study is to evaluate the possibilities of combining different information streams in order to develop algorithms for health and welfare monitoring. Besides demonstrating the advantages of a generic data platform by building new applications on the platform in the two case studies, the project also aims to disseminate the ‘success stories’ to different stakeholders and collect their feedback and input.
The aim of this project is to demonstrate the advantages of a generic data platform. By means of case studies, CowData will showcase how existing sensor prototypes can be combined with additional on-farm (sensor) data to build new applications and improve decision support systems. The first case study will examine the possibility of using marginal land in LFAs (less favoured areas) for grassland based production systems. The second case study will focus on behavioural monitoring by evaluating the possibilities of combining different information streams in order to develop algorithms for health and welfare tracking. In addition to demonstrating the advantages of a generic data platform, the project also aims to disseminate the ‘success stories’ to different stakeholders, and collect their feedback and input.