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Evaluation of different deep convolutional neural networks for detection of broadleaf weed seedlings in wheat.
Zhuang, Jiayao; Li, Xuehan; Bagavathiannan, Muthukumar; Jin, Xiaojun; Yang, Jie; Meng, Wenting; Li, Tao; Li, Lanxi; Wang, Yundi; Chen, Yong; Yu, Jialin.
Afiliación
  • Zhuang J; Co-Innovation Center for sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China.
  • Li X; Co-Innovation Center for sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China.
  • Bagavathiannan M; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX, USA.
  • Jin X; College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, China.
  • Yang J; College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, China.
  • Meng W; Co-Innovation Center for sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China.
  • Li T; Co-Innovation Center for sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China.
  • Li L; Co-Innovation Center for sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China.
  • Wang Y; Department of Computer Science, Stevens Institute of Technology, Hoboken, NJ, USA.
  • Chen Y; College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, China.
  • Yu J; Co-Innovation Center for sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China.
Pest Manag Sci ; 78(2): 521-529, 2022 Feb.
Article en En | MEDLINE | ID: mdl-34561954
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Triticum / Plantones Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Pest Manag Sci Asunto de la revista: TOXICOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Triticum / Plantones Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Pest Manag Sci Asunto de la revista: TOXICOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: China