Rodania Bekhit

Rodania Bekhit serves as a Researcher in Animal Health & Welfare at Wageningen University & Research, focusing on technological innovations for livestock welfare assessment. Her work bridges agricultural engineering and animal behavior science through advanced computational methods.

Her research interests center on AI-driven welfare monitoring systems, particularly applying deep learning to thermal imaging for pig temperature analysis and investigating poultry behavioral responses to environmental factors like light gradients and ultraviolet exposure. Key methodologies include region-of-interest detection algorithms and sensor-based behavioral tracking.

Recent publications demonstrate her focus on translational agricultural technology, with trends showing increasing integration of computer vision with traditional animal science to develop non-invasive welfare assessment tools. Her work consistently addresses practical farm applications while advancing methodological rigor in livestock monitoring.

Rodania actively contributes to Wageningen Livestock Research initiatives, collaborating with multidisciplinary teams on projects spanning poultry behavior studies and precision livestock farming technologies. Current work emphasizes developing scalable solutions for real-world farm implementation through partnerships with agricultural technology stakeholders.