Research on weed identification method in rice fields based on UAV remote sensing.

Yu, Fenghua; Jin, Zhongyu; Guo, Sien; Guo, Zhonghui; Zhang, Honggang; Xu, Tongyu; Chen, Chunling

Yu, Fenghua; Jin, Zhongyu; Guo, Sien; Guo, Zhonghui; Zhang, Honggang; Xu, Tongyu; Chen, Chunling.

Afiliação

Yu F; College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang, China.
Jin Z; Department of Science and Technology, Liaoning Agricultural Information Engineering Technology Research Center, Shenyang, China.
Guo S; College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang, China.
Guo Z; College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang, China.
Zhang H; College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang, China.
Xu T; College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang, China.
Chen C; College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang, China.

Front Plant Sci ; 13: 1037760, 2022.

Article em En | MEDLINE | ID: mdl-36438154

Palavras-chave

UAV; multispectral imaging; remote sensing; rice weeds; vegetation indices

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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