Inonge Reimert

Inonge Reimert is an Assistant Professor in Adaptation Physiology at Wageningen University. She specializes in animal welfare and behavior, particularly focusing on pigs and veal calves. Her research emphasizes environmental enrichment, genetic selection for maternal care, and the application of precision livestock farming technologies like thermal imaging and wearable sensors.

Her work integrates interdisciplinary approaches combining computer vision, machine learning, and behavioral ecology to improve livestock management. Notable projects include predicting parturition onset in sows and reducing piglet mortality through genetic selection. She collaborates extensively on EU-funded research and supervises PhD candidates in areas like veal calf welfare and social network analysis in pigs.

Recent contributions include developing automated thermal imaging pipelines for livestock monitoring and exploring how housing systems affect animal health. Her research has been presented globally at conferences like the European Conference on Precision Livestock Farming.