机器学习技术与红外热学相结合,优化牛子临床乳腺炎的诊断

Raul Costa Mascarenhas Santana1,2, Edilson da Silva Guimarães2, Fernando David Caracuschanski1

  • 1School of Agricultural and Veterinary Sciences, São Paulo State University (UNESP), Jaboticabal, São Paulo, Brazil.

PubMed
概括

机器学习,特别是XGBoost,可以通过使用红外热学 (IRT) 数据来改善牛子临床乳腺炎 (SCM) 的早期发现. 乳头上最冷的点是准确SCM诊断的关键.