CowBhave: a basic low-cost open-source automated monitoring system for discrimination of dairy cow behavioural activities
Project information
CowBhave: a basic low-cost open-source automated monitoring system for discrimination of dairy cow behavioural activitiesCall: Farm Management Systems for Precision Farming
Id: 37645
Acronym: CowBhave
Consortium:
| No | Partner | Contact | Country | Total 1000€ | Funded 1000€ | Funder |
|---|---|---|---|---|---|---|
| 1 Coord. | Department of Agriculture, Food and Environment University of CATANIA | Claudia Arcidiacono | Italy | 135.4 | 65.5 | Ministry of Agriculture Food, Forestry & Tourism Policies |
| 2 | Natural Resources Institute Finland (LUKE) | Matti Pastell | Finland | 192.8 | 192.8 | Ministry of Agriculture and Forestry |
| 3 | Agrifood Technology Technology & Food Science Unit Institute for Agricultural and Fisheries Research (ILVO) | Stephanie Vanweyenberg | Belgium | 14.3 | 0.0 | None |
CowBhave is a novel low-cost open-source automated monitoring system, offered as a free support to the dairy farmers across Europe to:
- Allow for building a basic low-cost open-source automated monitoring system for discrimination of dairy cow behavioural activities.
- Get information of the system accuracy in relation to visual observation of images acquired by multi-camera video-recording systems considered as the ‘golden standard’.
- Get information on the system accuracy in relation to the accuracy of other sensor-based monitoring systems commonly utilised for cow behaviour detection.
- Get information on the standards of data storage for accelerometers they will use.
- Make better decisions based on real data.
- Save time by avoiding the direct observation of the herd, both for large herds due to the modularity of the system and for small herds for which a costly system would not be economically sustainable for small to medium sized farms.
CowBhave is proposed as a novel low-cost open-source automated monitoring system that will be offered as a free support to dairy farmers across Europe to: (i) allow for building a basic low-cost open-source automated monitoring system for discrimination of dairy cow behavioural activities; (ii) get information on the system accuracy in relation to visual observation of images acquired by multi-camera video-recording systems considered as the ‘gold standard’; (iii) assess the system accuracy in relation to other sensor-based monitoring systems commonly utilised for cow behaviour detection; (iv) make better decisions based on real data; and, (v) save time by avoiding the direct observation of the herd, both for large herds due to the modularity of the system, and for small herds for which a costly system would not be economically sustainable.