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Crowdsourcing image analysis for plant phenomics to generate ground truth data for machine learning.
Zhou, Naihui; Siegel, Zachary D; Zarecor, Scott; Lee, Nigel; Campbell, Darwin A; Andorf, Carson M; Nettleton, Dan; Lawrence-Dill, Carolyn J; Ganapathysubramanian, Baskar; Kelly, Jonathan W; Friedberg, Iddo.
Afiliação
  • Zhou N; Program in Bioinformatics and Computational Biology, Iowa State University, Ames, Iowa, United States of America.
  • Siegel ZD; Department of Veterinary Microbiology and Preventive Medicine, Iowa State University, Ames, Iowa, United States of America.
  • Zarecor S; Department of Psychology, Iowa State University, Ames, Iowa, United States of America.
  • Lee N; Department of Genetics, Development and Cell Biology, Iowa State University, Ames, Iowa, United States of America.
  • Campbell DA; Department of Mechanical Engineering, Iowa State University, Ames, Iowa, United States of America.
  • Andorf CM; Department of Genetics, Development and Cell Biology, Iowa State University, Ames, Iowa, United States of America.
  • Nettleton D; Agricultural Research Services, United States Department of Agriculture, Ames, Iowa, United States of America.
  • Lawrence-Dill CJ; Department of Computer Science, Iowa State University.
  • Ganapathysubramanian B; Program in Bioinformatics and Computational Biology, Iowa State University, Ames, Iowa, United States of America.
  • Kelly JW; Department of Statistics, Iowa State University, Ames, Iowa, United States of America.
  • Friedberg I; Program in Bioinformatics and Computational Biology, Iowa State University, Ames, Iowa, United States of America.
PLoS Comput Biol ; 14(7): e1006337, 2018 07.
Article em En | MEDLINE | ID: mdl-30059508
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Produtos Agrícolas / Crowdsourcing / Aprendizado de Máquina Tipo de estudo: Guideline Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Produtos Agrícolas / Crowdsourcing / Aprendizado de Máquina Tipo de estudo: Guideline Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article