Giovanni Puglisi
Papers
1
Total Citations
100
H-Index
1
About
Giovanni Puglisi is a leading researcher in precision livestock farming, with a primary focus on dairy cattle management and automated health monitoring. His most influential work centers on the objective estimation of body condition score (BCS) from digital images, a breakthrough that has transformed how farmers assess animal welfare and nutritional status. In his seminal 2011 paper, cited over 100 times, Puglisi demonstrated the feasibility of modeling cow body shape from digital photographs, employing regression machines to replace subjective manual scoring with reliable, automated analysis. This contribution has paved the way for non-invasive, real-time monitoring systems that reduce labor and improve accuracy in herd management. Beyond BCS estimation, his research integrates computer vision and machine learning to address practical challenges in animal science. Puglisi’s work is widely recognized for bridging engineering and veterinary applications, offering scalable solutions for modern dairy operations. His high-impact publications continue to influence both academic research and on-farm technology, making him a key figure in the advancement of smart agriculture and animal health informatics.
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Top Papers
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