Variable rate air-assisted spray based on real-time disease spot identification.

Zhang, Jinhui; Yin, Hao; Zhou, Liangfu; Gu, Chao; Qiu, Wei; Lv, Xiaolan; Sun, Hao; Yu, Hongfeng; Zhang, Zhengwei

Zhang, Jinhui; Yin, Hao; Zhou, Liangfu; Gu, Chao; Qiu, Wei; Lv, Xiaolan; Sun, Hao; Yu, Hongfeng; Zhang, Zhengwei.

Afiliação

Zhang J; College of Engineering, Nanjing Agricultural University, Nanjing, China.
Yin H; College of Engineering, Nanjing Agricultural University, Nanjing, China.
Zhou L; Engineering Technology Training Center, Nanjing Vocational University of Industry Technology, Nanjing, China.
Gu C; College of Horticulture, Nanjing Agricultural University, Nanjing, China.
Qiu W; College of Engineering, Nanjing Agricultural University, Nanjing, China.
Lv X; Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Sun H; College of Engineering, Nanjing Agricultural University, Nanjing, China.
Yu H; College of Engineering, Nanjing Agricultural University, Nanjing, China.
Zhang Z; College of Engineering, Nanjing Agricultural University, Nanjing, China.

Pest Manag Sci ; 79(1): 402-414, 2023 Jan.

Article em En | MEDLINE | ID: mdl-36175385

Palavras-chave

complex scenarios; control strategies; deep convolutional neural network models; disease spot detection; variable rate application systems

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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: 2023 Tipo de documento: Article

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