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Communication Dans Un Congrès Année : 2018

A computer vision tool for a high-throughput phenotyping of seedlings during elongation - Application to sugar beet

Résumé

A computer vision tool for a high-throughput phenotyping of seedlings during elongation - Application to sugar beet

 

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Dates et versions

hal-02170890 , version 1 (02-07-2019)

Identifiants

  • HAL Id : hal-02170890 , version 1
  • OKINA : ua17033

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Pejman Rasti, Etienne Belin, Didier Demilly, Sylvie Ducournau, Carolyne Dürr, et al.. A computer vision tool for a high-throughput phenotyping of seedlings during elongation - Application to sugar beet. 76th International Institute of Sugar Beet Research Congress, 2018, Deauville, France. ⟨hal-02170890⟩
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