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pro vyhledávání: '"Angelica Sarahy Trujillo-Lopez"'
Autor:
Arturo Yee-Rendon, Irineo Torres-Pacheco, Angelica Sarahy Trujillo-Lopez, Karen Paola Romero-Bringas, Jesus Roberto Millan-Almaraz
Publikováno v:
Plants, Vol 10, Iss 10, p 1977 (2021)
Recently, deep-learning techniques have become the foundations for many breakthroughs in the automated identification of plant diseases. In the agricultural sector, many recent visual-computer approaches use deep-learning models. In this approach, a
Externí odkaz:
https://doaj.org/article/73b1ee118d4f4261a302c05fda19c8cc
Autor:
Karen Paola Romero-Bringas, Arturo Yee-Rendon, Jesus Roberto Millan-Almaraz, Irineo Torres-Pacheco, Angelica Sarahy Trujillo-Lopez
Publikováno v:
Plants
Volume 10
Issue 10
Plants, Vol 10, Iss 1977, p 1977 (2021)
Volume 10
Issue 10
Plants, Vol 10, Iss 1977, p 1977 (2021)
Recently, deep-learning techniques have become the foundations for many breakthroughs in the automated identification of plant diseases. In the agricultural sector, many recent visual-computer approaches use deep-learning models. In this approach, a