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A method overview in smart aquaculture.
Hu, Zhuhua; Li, Ruoqing; Xia, Xin; Yu, Chuang; Fan, Xiang; Zhao, Yaochi.
Afiliação
  • Hu Z; School of Information and Communication Engineering, School of Computer Science and Cyberspace Security, State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, China.
  • Li R; School of Information and Communication Engineering, School of Computer Science and Cyberspace Security, State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, China.
  • Xia X; School of Information and Communication Engineering, School of Computer Science and Cyberspace Security, State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, China.
  • Yu C; School of Information and Communication Engineering, School of Computer Science and Cyberspace Security, State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, China.
  • Fan X; School of Information and Communication Engineering, School of Computer Science and Cyberspace Security, State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, China.
  • Zhao Y; School of Information and Communication Engineering, School of Computer Science and Cyberspace Security, State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, China. zhyc@hainanu.edu.cn.
Environ Monit Assess ; 192(8): 493, 2020 Jul 08.
Article em En | MEDLINE | ID: mdl-32642861
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Aquicultura Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Environ Monit Assess Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China País de publicação: Holanda
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Aquicultura Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Environ Monit Assess Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China País de publicação: Holanda