Helen Schomburg

Helen Schomburg is a researcher at the Institute of Animal Welfare and Animal Husbandry (ITT), focusing on advanced technological solutions to enhance animal welfare and optimize farming practices. Her work integrates Precision Livestock Farming with Machine Learning and Image Processing to develop automated monitoring systems for livestock.

• Education: Dr. rer. nat. (Doctorate in Natural Sciences)

Research Interests: Her research spans Precision Livestock Farming, Data Analysis, and Machine Learning, with a focus on applying Pattern Recognition and Signal Processing to assess animal behavior and health. She specializes in creating digital tools for real-time welfare monitoring in pigs and poultry.

Publications & Projects: Schomburg's recent work includes designing the Bite-o-Mat device for tail biting detection in pigs and prototype systems for broiler chicken activity monitoring using elevated platforms with integrated sensors. Her contributions emphasize reducing labor intensity and improving early intervention through automated data analytics.

Labs & Teams: She collaborates with colleagues like Prof. Dr. L. Schrader, Dr. J. Knöll, and Dr. A. Patt, contributing to initiatives such as the ErhEb project under the European Partnership Animal Health & Welfare. Her efforts align with the Experimental Station Celle, promoting innovation in farm animal environments.