Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sergio Illana Rico"'
Autor:
Javiera P. Navarro Soto, Sergio Illana Rico, Diego M. Martínez Gila, Silvia Satorres Martínez
Publikováno v:
Sensors, Vol 24, Iss 8, p 2565 (2024)
The electronic nose is a non-invasive technology suitable for the analysis of edible oils. One of the practical applications in the olive oil industry is the classification of virgin oils based on their sensory characteristics. Notwithstanding that t
Externí odkaz:
https://doaj.org/article/b1c0d855a82a4cb99cac29074b88bf91
Autor:
Silvia Satorres Martínez, Diego Manuel Martínez Gila, Sergio Illana Rico, Daniel Teba Camacho
Publikováno v:
Sensors, Vol 23, Iss 21, p 8988 (2023)
This paper presents a machine vision system that performs the automatic positioning of optical components in LED modules of automotive headlamps. The automatic adjustment of the module is a process of great interest at the industrial level, as it all
Externí odkaz:
https://doaj.org/article/e227f498608d4bcba99812e688152fae
Publikováno v:
Sensors, Vol 22, Iss 16, p 6219 (2022)
Marking the tree canopies is an unavoidable step in any study working with high-resolution aerial images taken by a UAV in any fruit tree crop, such as olive trees, as the extraction of pixel features from these canopies is the first step to build th
Externí odkaz:
https://doaj.org/article/4be9ae0e184d4a0884205c9a88007fea
Autor:
Silvia Satorres Martínez, Sergio Illana Rico, Pablo Cano Marchal, Diego Manuel Martínez Gila, Juan Gómez Ortega
Publikováno v:
Applied Sciences, Vol 12, Iss 10, p 5184 (2022)
This paper provides a zero defect manufacturing (ZDM) approach designed for the virgin olive oil (VOO) industry, with the objective of producing the best possible product using sustainable methods. A deep analysis of related work for ZDM and the curr
Externí odkaz:
https://doaj.org/article/6d66e0f3d487461388c9735fa49f29c5
Autor:
Javier Gómez Ortega, Pablo Cano Marchal, Diego Manuel Martínez Gila, Javier Gámez García, Sergio Illana Rico
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9783030586522
This work presents the prediction of nutritional state for olive trees based on multispectral information gathered by a camera mounted on an Unmanned Aerial Vehicle (UAV). The results show that this data gathering technique is very promising for this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efb49bd7afffdb375fe2604eb4f676b5
https://doi.org/10.1007/978-3-030-58653-9_27
https://doi.org/10.1007/978-3-030-58653-9_27
