We use cookies on our website. Some are necessary for the operation of the website. You can also allow cookies for statistical purposes. You can adjust the data protection settings or agree to all cookies directly.
Collaborative project: Development of a self-maintaining, digital fence system to promote grazing. Subproject A: Coordination (SmartFence)
Project
Project code: 281C212A19
Contract period: 01.10.2020
- 30.09.2023
Budget: 269,619 Euro
Purpose of research: Experimental development
Keywords: animal husbandry, Precision livestock farming, monitoring, animal welfare, cattle, digital world, sensor technology, labour economy, animal species comprehensive, husbandry techniques
The SmartFence Project aims to promote grazing by developing a self-maintaining, digital fence system. The potential benefits of grazing for animal welfare, climate and environmental protection and efficient ressource consumption, are vastly underutilized. Obstacles are mainly increased labour costs of grazing, especially for maintainance of fences. SmartFence compensates this disadvantage and continues to fully automate grazing. The system to be developed will have a) special fencing material designed for optimal recognition with computer vision (cv) techniques; b) an intelligent upgrade module, consisting of a master unit and several measuring units which continuously monitor the voltage on the fence in realtime, detect failure more reliably than any existing system and localizes them; c) an autonomous patrol and maintenance vehicle that moves out periodically and in case of failures, navigates along the fence, recognizes and documents the fence's condition, exactly locates the position of a failure, notifies the user and regulates ingrowing vegetation; d) a central server with a graphic user interface (GUI) that allows users to contol the system and allows communication between SmartFence devices.
Section overview
Subjects
- Animal Husbandry
- Agricultural Technology Animal Production
- Animal health
- Business administration
- Computer science