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SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging.
Misra, Tanuj; Arora, Alka; Marwaha, Sudeep; Chinnusamy, Viswanathan; Rao, Atmakuri Ramakrishna; Jain, Rajni; Sahoo, Rabi Narayan; Ray, Mrinmoy; Kumar, Sudhir; Raju, Dhandapani; Jha, Ranjeet Ranjan; Nigam, Aditya; Goel, Swati.
Afiliação
  • Misra T; 1ICAR-Indian Agricultural Statistics Research Institute (IASRI), Library Avenue, Pusa, New Delhi 110012 India.
  • Arora A; 1ICAR-Indian Agricultural Statistics Research Institute (IASRI), Library Avenue, Pusa, New Delhi 110012 India.
  • Marwaha S; 1ICAR-Indian Agricultural Statistics Research Institute (IASRI), Library Avenue, Pusa, New Delhi 110012 India.
  • Chinnusamy V; 2ICAR-Indian Agricultural Research Institute, New Delhi, India.
  • Rao AR; 1ICAR-Indian Agricultural Statistics Research Institute (IASRI), Library Avenue, Pusa, New Delhi 110012 India.
  • Jain R; 3ICAR-National Institute of Agricultural Economics and Policy Research, New Delhi, India.
  • Sahoo RN; 2ICAR-Indian Agricultural Research Institute, New Delhi, India.
  • Ray M; 1ICAR-Indian Agricultural Statistics Research Institute (IASRI), Library Avenue, Pusa, New Delhi 110012 India.
  • Kumar S; 2ICAR-Indian Agricultural Research Institute, New Delhi, India.
  • Raju D; 2ICAR-Indian Agricultural Research Institute, New Delhi, India.
  • Jha RR; 4Indian Institute of Technology, Mandi, Himachal Pradesh India.
  • Nigam A; 4Indian Institute of Technology, Mandi, Himachal Pradesh India.
  • Goel S; 2ICAR-Indian Agricultural Research Institute, New Delhi, India.
Plant Methods ; 16: 40, 2020.
Article em En | MEDLINE | ID: mdl-32206080
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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: 2020 Tipo de documento: Article
Texto completo
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PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Plant Methods Ano de publicação: 2020 Tipo de documento: Article