Deep learning for detecting herbicide weed control spectrum in turfgrass.

Jin, Xiaojun; Bagavathiannan, Muthukumar; Maity, Aniruddha; Chen, Yong; Yu, Jialin

Jin, Xiaojun; Bagavathiannan, Muthukumar; Maity, Aniruddha; Chen, Yong; Yu, Jialin.

Afiliação

Jin X; College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China.
Bagavathiannan M; Peking University Institute of Advanced Agricultural Sciences, Weifang, 261325, Shandong, China.
Maity A; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX, 77843, USA.
Chen Y; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX, 77843, USA.
Yu J; College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China. chenyongjsnj@163.com.

Plant Methods ; 18(1): 94, 2022 Jul 25.

Article em En | MEDLINE | ID: mdl-35879797

Palavras-chave

Deep learning; Herbicide weed control spectrum; Precision herbicide application; Weed detection

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

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