Your browser doesn't support javascript.
loading
Establishment of validated models for non-invasive prediction of rectal temperature of sows using infrared thermography and chemometrics.
Feng, Yao-Ze; Zhao, Hai-Tao; Jia, Gui-Feng; Ojukwu, Chijioke; Tan, He-Qun.
Afiliación
  • Feng YZ; College of Engineering, Huazhong Agricultural University, Wuhan, Hubei, China. yaoze.feng@mail.hzau.edu.cn.
  • Zhao HT; Key Laboratory of Agricultural Equipment in Mid-lower Yangtze River, Ministry of Agriculture and Rural Affairs, Wuhan, Hubei, China. yaoze.feng@mail.hzau.edu.cn.
  • Jia GF; College of Engineering, Huazhong Agricultural University, Wuhan, Hubei, China.
  • Ojukwu C; College of Engineering, Huazhong Agricultural University, Wuhan, Hubei, China.
  • Tan HQ; Key Laboratory of Agricultural Equipment in Mid-lower Yangtze River, Ministry of Agriculture and Rural Affairs, Wuhan, Hubei, China.
Int J Biometeorol ; 63(10): 1405-1415, 2019 Oct.
Article en En | MEDLINE | ID: mdl-31375909
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Temperatura Corporal / Termografía Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Int J Biometeorol Año: 2019 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Temperatura Corporal / Termografía Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Int J Biometeorol Año: 2019 Tipo del documento: Article País de afiliación: China