Machteld Steensels
Papers
1
Total Citations
49
H-Index
1
About
Machteld Steensels is a leading researcher in precision livestock farming, with a primary focus on dairy cattle health and behavior. Her work centers on developing innovative, sensor-based monitoring systems to improve animal welfare and farm management efficiency. Steensels’ major contribution is the creation of a decision-tree model that uses real-time data from automated milking systems—including rumination time, activity levels, milk yield, and body weight—to detect post-calving diseases in dairy cows. This breakthrough allows for early identification of health issues without disturbing the herd’s routine, a critical advantage in robotic-milking operations. Her most-cited paper (2016) on this model has garnered 49 citations, reflecting its practical impact on the field. Steensels’ research bridges veterinary science and agricultural technology, offering farmers a data-driven tool to enhance animal health monitoring and reduce labor. Her work is particularly notable for its application in commercial dairy settings, demonstrating how sensor data can be transformed into actionable health alerts. By advancing the use of precision technologies, Steensels is helping to shape the future of sustainable and welfare-conscious dairy farming.
Research Focus
Key Achievements
Top Papers
- 1