Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Cristina Martínez-Ruedas"'
Autor:
Cristina Martínez-Ruedas, Samuel Yanes-Luis, Juan Manuel Díaz-Cabrera, Daniel Gutiérrez-Reina, Rafael Linares-Burgos, Isabel Luisa Castillejo-González
Publikováno v:
Agronomy, Vol 12, Iss 11, p 2700 (2022)
This paper aims to evaluate whether an automatic analysis with deep learning convolutional neural networks techniques offer the ability to efficiently identify olive groves with different intensification patterns by using very high-resolution aerial
Externí odkaz:
https://doaj.org/article/57e16d07220b493e98186141955ff2bc
Publikováno v:
Agronomy, Vol 12, Iss 8, p 1735 (2022)
The aim of this study was to develop and validate a methodology to carry out olive grove inventories based on open data sources and automatic photogrammetric and satellite image analysis techniques. To do so, tools and protocols have been developed t
Externí odkaz:
https://doaj.org/article/e1ea29cdf6da45fe89b78fbf90e65140
Publikováno v:
Forests, Vol 13, Iss 4, p 581 (2022)
The dehesa is an anthropic complex ecosystem typical of some areas of Spain and Portugal, with a key role in soil and biodiversity conservation and in the search for a balance between production, conservation and ecosystem services. For this reason,
Externí odkaz:
https://doaj.org/article/092094be9f8b4b678ad943ce48a57ccd
Publikováno v:
Forests 13(4), 581 (2022)
Helvia. Repositorio Institucional de la Universidad de Córdoba
instname
Forests; Volume 13; Issue 4; Pages: 581
Helvia. Repositorio Institucional de la Universidad de Córdoba
instname
Forests; Volume 13; Issue 4; Pages: 581
The dehesa is an anthropic complex ecosystem typical of some areas of Spain and Portugal, with a key role in soil and biodiversity conservation and in the search for a balance between production, conservation and ecosystem services. For this reason,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ee35d6209f955a97b9e81d75740067d
http://hdl.handle.net/10396/22741
http://hdl.handle.net/10396/22741
Publikováno v:
Agronomy 12(8), 1735 (2022)
Helvia. Repositorio Institucional de la Universidad de Córdoba
instname
Agronomy; Volume 12; Issue 8; Pages: 1735
Helvia. Repositorio Institucional de la Universidad de Córdoba
instname
Agronomy; Volume 12; Issue 8; Pages: 1735
The aim of this study was to develop and validate a methodology to carry out olive grove inventories based on open data sources and automatic photogrammetric and satellite image analysis techniques. To do so, tools and protocols have been developed t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a914d475d248a4e570c31e3f2704892a
http://hdl.handle.net/10396/23689
http://hdl.handle.net/10396/23689
Autor:
Cristina Martinez-Ruedas, Jose-Maria Flores-Arias, Isabel M. Moreno-Garcia, Matias Linan-Reyes, Francisco Jose Bellido-Outeiriño
Publikováno v:
Technologies, Vol 12, Iss 5, p 60 (2024)
Cyber–physical systems involve the creation, continuous updating, and monitoring of virtual replicas that closely mirror their physical counterparts. These virtual representations are fed by real-time data from sensors, Internet of Things (IoT) dev
Externí odkaz:
https://doaj.org/article/7070f1a386044028824bb5e27000f43c