Sistema automatizado para la determinación del estado de maduración en fruta bomba
Article Sidebar
Main Article Content
Abstract
Article Details
Those authors that have publications with this journal accept the following terms:
1. They will retain their copyright and guarantee the journal the right of first publication of their work, which will be simultaneously subject to the License Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) that allows third parties to share the work whenever its author is indicated and its first publication this journal. Under this license the author will be free of:
• Share — copy and redistribute the material in any medium or format
• Adapt — remix, transform, and build upon the material
• The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
• Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
• NonCommercial — You may not use the material for commercial purposes.
• No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
2. The authors may adopt other non-exclusive license agreements to distribute the published version of the work (e.g., deposit it in an institutional telematics file or publish it in a monographic volume) whenever the initial publication is indicated in this journal.
3. The authors are allowed and recommended disseminating their work through the Internet (e.g. in institutional telematics archives or on their website) before and during the submission process, which can produce interesting exchanges and increase the citations of the published work. (See the Effect of open access).
References
ARANCETA, J. y PÉREZ-RODRIGO, C., Maduración de la Fruta, 8pp., III MASSON, ISBN 9788445816691, Barcelona, España, 2006.
BUITRAGO, G.V., LÓPEZ, A.P., CORONADO, A.P. & OSORNO, F.L.: Determination of physical characteristics and mechanical properties of potatoes cultivated in Colombia. Revista Brasileira de Engenharia Agrícola e Ambiental (on line). ISSN: 1807-1929, 8(1): 102-110 [en línea] 2004, Disponible en: http://www.scielo.br/scielo.php?pid=S1415=43662004000100015&scriptsciarttext [Consulta: 10 de febrero de 2015].
DUFOSSÉ, L., GALAUP, P., CARLET, E., FLAMIN, C. & VALLA, A.: "Spectrocolorimetry in the CIE L* a* b* color space as useful tool for monitoring the ripening process and the quality of PDO red-smear soft cheeses", Food research international, ISSN: 0963-9969, 38(8): 919-924, 2005.
GALVÁN, I. & ISASI, P.: “Multi-step learning rule for recurrent neural models: and application to time series forecasting”, Neural Processing Letters, ISSN: 1370-4621, 13:115-133. 2001.
GIL, R. J.A.: "Evaluación de calidad en segmentación de imágenes" CENATAV, ISSN: 2072-6287, RNPS No. 2142, La Habana, Cuba, 2011.
ISASI, P. y GALVÁN, I.: Redes neuronales artificiales–un enfoque práctico, Departamento de Informática. Universidad Carlos III, Pearson-Prentice Hall, ISBN: 84-2054025-0. Madrid, España.
JACOBSON, I. y BOOCH, G.: El proceso unificado de desarrollo de software, pp. 4, Editado por: Addison-Wesley, Cerro, Narciso, ISBN 84-7829-036-2, Madrid. España, 2000.
LEON, K., MERY, D., PEDRESCHI, F. & LEON, J.: "Color measurement in L∗ a∗ b∗ units from RGB digital images", Food research international, ISSN: 0963-9969, 39(10): 1084-1091, 2006.
MATICH, D.J.: Cátedra de Informática Aplicada a la Ingeniería de Procesos–Orientación Fac. Regional Rosario. Argentina. I [en línea] 2001, Disponible en: www.frro.utn.edu.ar/repositorio/catedras .../matich-redesneuronales.pdf [Consulta: 10 de febrero de 2015].
PARADING, V.: Free: Visual Paradigm Training-Visual Paradigm Essential. Univ. Cantabria-Fac. de Ciencias, España. [en línea] 2010, Disponible en: http://www.visual-paradigm.com/training/visual-paradigm-essential/ [Consulta: 10 de febrero de 2015].
PERALES, E.: Sobre los colores óptimos y sus aplicaciones en visión y tecnología del color. Doctoral, Departamento de Óptica, Farmacología y Anatomía. Universidad de Alicante, España [en línea] 2009, Disponible en: http://rua.ua.es/dspace/bitstream/10045/13878/1/Tesis_Perales.pdf [Consulta: 10 de febrero de 2015].
REMÓN y GARCÍA: "Estado de arte sobre los métodos de detección de características locales" CENATV, ISSN 2072-6287, RNPS 2142, La Habana. Cuba, 2010.
SCHMULLER, J.: Aprendiendo UML en 24 horas, pp. 6-10, Prentice Education, 4 ed. ISBN: 234-5678-12, México, 2004.
SOLIVA-FORTUNY: "Effect of minimal processing on the texture propertiss of fresh-cut pears", J. Sci Food Agric., ISSN: 0022-5142, 82: 1862-1688, 2002.
STAN, Z., «Handbook of face recognition». Springer-Verlag, ISBN 038740595X, London, England, 2005.
VIGNONI, L. y CESARI, R.: "Determinación de índice de color en ajo picado", Información tecnológica, ISSN: 0716-8756, E-ISSN: 0718-0764, 17: 63-67, 2006.
WYSZECKI, G. & STILES, W.: Color Science: Concepts and Methods, Quantitative Data and Formulae, 2nd Edition. National Research Council, Ottawa, Ontario, Canada [en línea] 1982, Disponible en: http//www.gbv.de/dms/ilmenau/toc/025263196.PD. [Consulta: 10 de febrero de 2015].