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Prof. McCool replaces Prof. Schulze Lammers

Since 1st February 2019, the Chair of 'Agricultural Engineering and Robotics' has been occupied by Prof. Chris McCool (from Brisbane/Australia). Prof. McCool replaces Prof. Schulze Lammers, who will be retired on 15 March 2019.

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You are here: Home Research Livestock Technology Folder_Projects 2016-10-02 Pigs And More

2016-10-02 Pigs And More

Pig, Animal welfare, Indicators, Consulting concept


Project Description



PigsAndMore - Development of an animal welfare indicator-based advising concept 

In Germany, farmers are expected to carry out self-monitoring based on2016-10-02.2 animal welfare indicators in order to ensure compliance with the legal framework also for pig farming (§ 11 Animal Welfare Law). Currently, scientific initiatives have the objective to find appropriate and meaningful animal-based characteristics in order to fulfil such requirements.

Actually, there is a lack of specific advisory concepts in order to enhance animal welfare in pig farming. On this matter the project PigsAndMore shall provide innovative insights. The decision support system CowsAndMore, developed by the Chamber of Agriculture of North Rhine-Westfalia, serves as a blueprint for PigsAndMore. With CowsAndMore, the Chamber of Agriculture has developed a software-supported, integrated and standardized weak point analysis to provide the operational advice for conventionally managed dairy cattle farms.

The overarching goal of the research and development concept PigsAndMore is to evaluate and optimize animal welfare in pig farming on the basis of appropriate management and most importantly, animal-based indicators. A user-friendly observation technology and an evaluation software for practical use shall be developed to serve as a basis for advise of pig farms. Prior to the classical data collection by the consultant, a sensor-supported automatic screening of the barn situation should take place using an optical-acoustic-measuring system. In the future, an advisory recommendation with regard to the improvement of animal welfare of pigs should be based on a digital indicator analysis (and thus without any bias due to the presence of the human being) and on the visual assessment of an experienced consultant.



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