Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Arturo Yee Rendon"'
Análisis Comparativo de las técnicas utilizadas en un Sistema de Reconocimiento de Hojas de Planta
Autor:
Jair Cervantes, Jesús Taltempa, Farid GarcÃa-Lamont, José S. Ruiz Castilla, Arturo Yee Rendon, Laura D. Jalili
Publikováno v:
Revista Iberoamericana de Automática e Informática Industrial RIAI, Vol 14, Iss 1, Pp 104-114 (2017)
Resumen: El desarrollo de sistemas de identificación de hojas de plantas es un reto actual que comprende numerosas aplicaciones que van desde alimentación, medicina, industria y medio ambiente. En la literatura actual, se han propuesto varias t
Externí odkaz:
https://doaj.org/article/62428bcda59647128b36403eb12c9b7a
Publikováno v:
IEEE Latin America Transactions. 20:2330-2338
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efff158ba8cfa93a25182e55cead5a5b
https://doi.org/10.1109/tla.2022.9904757
https://doi.org/10.1109/tla.2022.9904757
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::294a35c1bac413506485191cd6b86a53
Publikováno v:
Pattern Analysis and Applications. 23:59-84
In this paper we introduce a method for color image segmentation by computing automatically the number of clusters the data, pixels, are divided into using fuzzy c-means. In several works the number of clusters is defined by the user. In other ones t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27e14d31485a90a49eec249d3402a393
https://doi.org/10.1007/s10044-018-0729-9
https://doi.org/10.1007/s10044-018-0729-9
Autor:
Rolando Quintero, Arturo Yee-Rendon, Brayan Luna-Nuñez, Rolando Menchaca-Mendez, Ricardo Menchaca-Mendez, Jesus Favela
Publikováno v:
Wireless Communications and Mobile Computing, Vol 2018 (2018)
The increasing adoption of mobile personal devices and Internet of Things devices is leveraging the emergence of a wide variety of opportunistic sensing applications. However, the designers of this type of applications face a set of technical challen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63565a8bbbf60e031d44f7c330013c3f
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