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Academic Journal

A new fine‐grained method for automated visual analysis of herbarium specimens: A case study for phenological data extraction

Subjects: Visual data classification; Automated regional segmentation; Deep learning

  • Source: ISSN: 2168-0450 ; Applications in Plant Sciences ; https://hal.inrae.fr/hal-02894994 ; Applications in Plant Sciences, 2020, 8 (6), pp.#e11368. ⟨10.1002/aps3.11368⟩.

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Academic Journal

A new fine‐grained method for automated visual analysis of herbarium specimens: A case study for phenological data extraction

Subjects: Visual data classification; Automated regional segmentation; Deep learning

  • Source: ISSN: 2168-0450 ; Applications in Plant Sciences ; https://hal.inrae.fr/hal-02894994 ; Applications in Plant Sciences, 2020, 8 (6), pp.#e11368. ⟨10.1002/aps3.11368⟩.

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Academic Journal

A new fine‐grained method for automated visual analysis of herbarium specimens: A case study for phenological data extraction

Subjects: Visual data classification; Automated regional segmentation; Deep learning

  • Source: ISSN: 2168-0450 ; Applications in Plant Sciences ; https://hal.inrae.fr/hal-02894994 ; Applications in Plant Sciences, 2020, 8 (6), pp.#e11368. ⟨10.1002/aps3.11368⟩.

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Academic Journal

A new fine‐grained method for automated visual analysis of herbarium specimens: A case study for phenological data extraction

Subjects: Visual data classification; Automated regional segmentation; Deep learning

  • Source: ISSN: 2168-0450 ; Applications in Plant Sciences ; https://hal.inrae.fr/hal-02894994 ; Applications in Plant Sciences, 2020, 8 (6), pp.#e11368. ⟨10.1002/aps3.11368⟩.

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Academic Journal

A new fine‐grained method for automated visual analysis of herbarium specimens: A case study for phenological data extraction

Subjects: Agricultural; Veterinary and Food Sciences; Crop and Pasture Production

  • Source: Applications in Plant Sciences, vol 8, iss 6

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Academic Journal

A new fine‐grained method for automated visual analysis of herbarium specimens: A case study for phenological data extraction

Subjects: Visual data classification; Automated regional segmentation; Deep learning

  • Source: ISSN: 2168-0450 ; Applications in Plant Sciences ; https://hal.inrae.fr/hal-02894994 ; Applications in Plant Sciences, Wiley, 2020, 8 (6), pp.#e11368. ⟨10.1002/aps3.11368⟩.

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  • 1-6 of  6 results for ""Mora‐fallas, Adán""