R. Petriglieri
Papers
1
Total Citations
100
H-Index
1
About
R. Petriglieri is a leading figure in precision livestock farming, with a primary focus on dairy cattle management and welfare. Her most influential work centers on the automated, non-invasive assessment of animal health through digital imaging. She pioneered the use of machine learning to objectively estimate Body Condition Score (BCS)—a critical metric for nutritional and reproductive management—by modeling cow body shape from photographs. Her seminal 2011 paper on this technique has garnered over 100 citations, establishing a foundational methodology that replaces subjective manual scoring with reliable, data-driven analysis. This contribution has opened new avenues for real-time, scalable health monitoring in dairy operations. Beyond BCS, Petriglieri’s research integrates computer vision and sensor technologies to improve animal welfare and farm efficiency. Her work is widely recognized for bridging veterinary science and artificial intelligence, offering practical tools that empower farmers and researchers alike. Through her innovative approach, she has helped shape the future of smart agriculture, making her a key reference in the field of animal biometrics and precision dairy farming.
Research Focus
Key Achievements
Top Papers
- 1