Zobrazeno 1 - 10
of 66
pro vyhledávání: '"J.E. Guerrero-Ginel"'
Autor:
F. Maroto-Molina, A. Gómez-Cabrera, J.E. Guerrero-Ginel, A. Garrido-Varo, D. Sauvant, G. Tran, V. Heuzé, D.C. Pérez-Marín
Publikováno v:
Animal, Vol 7, Iss 7, Pp 1128-1136 (2013)
The information stored in animal feed databases is highly variable, in terms of both provenance and quality; therefore, data pre-processing is essential to ensure reliable results. Yet, pre-processing at best tends to be unsystematic; at worst, it ma
Externí odkaz:
https://doaj.org/article/cfa91e8089514686ade68f99f5e24127
Publikováno v:
Practical Precision Livestock Farming ISBN: 9789086863822
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::739a64a1abf4a06202923752bfea94fa
https://doi.org/10.3920/978-90-8686-934-3_11
https://doi.org/10.3920/978-90-8686-934-3_11
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation. 57:113-122
Scale Invariant Feature Transformation (SIFT) was applied to extract tie-points from multiple source images. Although SIFT is reported to perform reliably under widely different radiometric and geometric conditions, using the default input parameters
Publikováno v:
International Journal of Remote Sensing. 38:3027-3053
In this article, we propose a methodology to co-register multi-temporal images captured from different sources in order to make it possible to generate precise, fully-automatic spatial information. The goal is to identify objects in images without me
Autor:
Dolores Pérez-Marín, Francisco Maroto-Molina, Ignacio Gómez-Maqueda, J.E. Guerrero-Ginel, Karen Príncipe-Aguirre, Jorge Navarro-García, Ana Garrido-Varo
Publikováno v:
Sensors, Vol 19, Iss 10, p 2298 (2019)
Sensors 19(10), 2298 (2019)
Helvia. Repositorio Institucional de la Universidad de Córdoba
instname
Sensors
Sensors (Basel, Switzerland)
Volume 19
Issue 10
Sensors 19(10), 2298 (2019)
Helvia. Repositorio Institucional de la Universidad de Córdoba
instname
Sensors
Sensors (Basel, Switzerland)
Volume 19
Issue 10
Animal location technologies have evolved considerably in the last 60 years. Nowadays, animal tracking solutions based on global positioning systems (GPS) are commercially available. However, existing devices have several constraints, mostly related
Author Summary: Feed grains are typically transported in bulk and a statistically representative sample of the grain in the truckload is usually required to be taken to the laboratory for wet chemistry or at-line near infrared (NIR) spectroscopy anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2adacc0a99a2477ea3d9f62ffea687e
https://doi.org/10.1255/nir2017.003
https://doi.org/10.1255/nir2017.003
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 198:103940
This study exploits the potential of near infrared (NIR) spectroscopy to deliver a measurement for each sampling point. Furthermore, it provides a protocol for the modelling of the spatial pattern of analytical constituents. On the basis of these two
Autor:
Cristóbal Garrido-Novell, Ana Garrido-Varo, Moon S. Kim, J.E. Guerrero-Ginel, Dolores Pérez-Marín
Publikováno v:
Journal of Food Engineering. 153:117-123
Hyperspectral imaging technology is increasingly regarded as a powerful tool for the classification and spatial quantification of a wide range of agrofood product properties. Taking into account the difficulties involved in validating hyperspectral c
Autor:
Leovigilda Ortiz Medina, José Antonio Adame, Encarnación Taguas Ruiz, Elvira Fernández-Ahumada, Eduardo Zamora Rojas, Pablo Lara, J.E. Guerrero Ginel
Publikováno v:
Revista de innovación y buenas prácticas docentes 1, 57-61 (2017)
El Plan de Innovación Docente 2015-2016 de la Universidad de Córdoba tenía entre sus líneas prioritarias tanto el trabajo en competencias (línea 1), como el fomento de la enseñanza virtual (línea 10) y la tutorización del alumnado (línea 12)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54e61538d5c69b9227cb0f9f1a2f84a0
https://hdl.handle.net/10396/16884
https://hdl.handle.net/10396/16884
Autor:
Dolores Pérez-Marín, E. De Pedro-Sanz, Ana Garrido-Varo, Eduardo Zamora-Rojas, J.E. Guerrero-Ginel
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 114:30-35
Innovative advances in Near Infrared Spectroscopy (NIRS) instrumentation have enabled the development of new miniaturized spectrometers that combine NIRS technology with micro-electro-mechanical platforms, thus opening up new horizons for industrial