Application of hyperspectral imaging technology in the rapid identification of microplastics in farmland soil.

Ai, Wenjie; Liu, Shulin; Liao, Hongping; Du, Jiaqing; Cai, Yulin; Liao, Chenlong; Shi, Haowen; Lin, Yongda; Junaid, Muhammad; Yue, Xuejun; Wang, Jun

Ai, Wenjie; Liu, Shulin; Liao, Hongping; Du, Jiaqing; Cai, Yulin; Liao, Chenlong; Shi, Haowen; Lin, Yongda; Junaid, Muhammad; Yue, Xuejun; Wang, Jun.

Afiliação

Ai W; College of Electronic Engineering, College of Artificial Intelligence, South China Agricultural University, Guangzhou 510642, China.
Liu S; College of Marine Sciences, South China Agricultural University, Guangzhou 510642, China.
Liao H; College of Marine Sciences, South China Agricultural University, Guangzhou 510642, China.
Du J; College of Arts, South China Agricultural University, Guangzhou 510642, China.
Cai Y; College of Electronic Engineering, College of Artificial Intelligence, South China Agricultural University, Guangzhou 510642, China.
Liao C; College of Electronic Engineering, College of Artificial Intelligence, South China Agricultural University, Guangzhou 510642, China.
Shi H; College of Electronic Engineering, College of Artificial Intelligence, South China Agricultural University, Guangzhou 510642, China.
Lin Y; College of Electronic Engineering, College of Artificial Intelligence, South China Agricultural University, Guangzhou 510642, China.
Junaid M; College of Marine Sciences, South China Agricultural University, Guangzhou 510642, China.
Yue X; College of Electronic Engineering, College of Artificial Intelligence, South China Agricultural University, Guangzhou 510642, China. Electronic address: yuexuejun@scau.edu.cn.
Wang J; College of Marine Sciences, South China Agricultural University, Guangzhou 510642, China; Institute of Eco-Environmental Research, Guangxi Key Laboratory of Marine Natural Products and Combinatorial Biosynthesis Chemistry, Biophysical and Environmental Science Research Center, Guangxi Academy of Sci

Sci Total Environ ; 807(Pt 3): 151030, 2022 Feb 10.

Article em En | MEDLINE | ID: mdl-34673067

Assuntos

Microplásticos; Solo; Fazendas; Imageamento Hiperespectral; Plásticos; Tecnologia

Palavras-chave

Convolutional neural network; Hyperspectrum; Machine learning; Microplastics; Rapid identification; Soil

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Solo / Microplásticos Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sci Total Environ Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Holanda

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