G. Licitra

Regione Siciliana

Papers

1

Total Citations

100

H-Index

1

About

Dr. G. Licitra is a leading researcher in precision livestock farming, with a core focus on the automated assessment of dairy cattle health and welfare. Her most impactful contribution lies in pioneering the use of computer vision and machine learning for objective body condition scoring (BCS). Her seminal 2011 paper, cited over 100 times, demonstrated the feasibility of estimating BCS directly from digital images by modeling cow body shape, moving beyond subjective manual scoring. This work laid the foundation for developing regression machines that automatically analyze visual data, enabling continuous, non-invasive monitoring of energy reserves. By translating a critical, labor-intensive management tool into a data-driven, automated process, Dr. Licitra’s research has significantly advanced the potential for real-time health surveillance and precision nutrition in dairy operations. Her work is a cornerstone for researchers and engineers developing sensor-based systems to improve animal welfare and farm efficiency, bridging the gap between traditional animal science and modern artificial intelligence.

Research Focus

Key Achievements

1
H-Index
1
Papers
100
Total Citations
100
Avg Citations/Paper
🏆 Most Cited Paper
Objective estimation of body condition score by modeling cow body shape from digital images
100 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Regione Siciliana

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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