Characterization of multispectral aerial images of sugarcane

Trabajo presentado al 19th Argentinean Bioengineering Society Congress (SABI 2013), 4–6 September 2013, Tucumán, Argentina

Detalles Bibliográficos
Autores principales: Solano, Agustín, Schneider, Gerardo, Kemerer, Alejandra Cecilia, Hadad, Alejandro Javier
Formato: info:ar-repo/semantics/artículo
Lenguaje:Inglés
Publicado: IOP Science 2023
Materias:
Acceso en línea:http://hdl.handle.net/20.500.12123/14769
https://iopscience.iop.org/article/10.1088/1742-6596/477/1/012016
https://doi.org/10.1088/1742-6596/477/1/012016
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author Solano, Agustín
Schneider, Gerardo
Kemerer, Alejandra Cecilia
Hadad, Alejandro Javier
author_browse Hadad, Alejandro Javier
Kemerer, Alejandra Cecilia
Schneider, Gerardo
Solano, Agustín
author_facet Solano, Agustín
Schneider, Gerardo
Kemerer, Alejandra Cecilia
Hadad, Alejandro Javier
author_sort Solano, Agustín
collection INTA Digital
description Trabajo presentado al 19th Argentinean Bioengineering Society Congress (SABI 2013), 4–6 September 2013, Tucumán, Argentina
format info:ar-repo/semantics/artículo
id INTA14769
institution Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina)
language Inglés
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher IOP Science
publisherStr IOP Science
record_format dspace
spelling INTA147692023-07-18T17:34:06Z Characterization of multispectral aerial images of sugarcane Solano, Agustín Schneider, Gerardo Kemerer, Alejandra Cecilia Hadad, Alejandro Javier Caña de Azúcar Imágenes Multiespectrales Productividad Sugar Cane Multispectral Imagery Productivity Trabajo presentado al 19th Argentinean Bioengineering Society Congress (SABI 2013), 4–6 September 2013, Tucumán, Argentina In this paper we present a implementation and characterization the status of sugarcane plantations based on the analysis of multispectral aerial images. Currently there are no precise techniques to estimate objectively the cane area fall or overturned, and this causes significant losses in crop productivity and industrialization. For the realization of this work was made a dataset benchmark images, and implemented a software from which were obtained indicators related to agronomic phenomenon, and analyzes of the data generated. In addition was used Principal Component Analysis to visualize and integrate statistical texture features. The results indicate the statistical features used characterize partially the sugar cane phenomena and suggest include another texture focus to complement this feature set, previous to built an cane identification process. EEA Paraná Fil: Solano, A. Universidad Nacional de Entre Ríos. Facultad de Ingeniería. Grupo de Investigación en Inteligencia Artificial; Argentina Fil: Schneider, Gerardo. Universidad Nacional de Entre Ríos. Facultad de Ingeniería. Grupo de Investigación en Inteligencia Artificial; Argentina Fil: Kemerer, Alejandra Cecilia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná. Grupo Recursos Naturales y Factores Abióticos; Argentina Fil: Kemerer, Alejandra Cecilia. IUniversidad Nacional de Entre Ríos. Facultad de Ciencias Agrarias; Argentina Fil: Hadad, Alejandro Javier. Universidad Nacional de Entre Ríos. Facultad de Ingeniería. Grupo de Investigación en Inteligencia Artificial; Argentina 2023-07-18T17:25:49Z 2023-07-18T17:25:49Z 2013 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/14769 https://iopscience.iop.org/article/10.1088/1742-6596/477/1/012016 1742-6596 https://doi.org/10.1088/1742-6596/477/1/012016 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf IOP Science Journal of Physics: Conference Series 477 : 012016 (2013)
spellingShingle Caña de Azúcar
Imágenes Multiespectrales
Productividad
Sugar Cane
Multispectral Imagery
Productivity
Solano, Agustín
Schneider, Gerardo
Kemerer, Alejandra Cecilia
Hadad, Alejandro Javier
Characterization of multispectral aerial images of sugarcane
title Characterization of multispectral aerial images of sugarcane
title_full Characterization of multispectral aerial images of sugarcane
title_fullStr Characterization of multispectral aerial images of sugarcane
title_full_unstemmed Characterization of multispectral aerial images of sugarcane
title_short Characterization of multispectral aerial images of sugarcane
title_sort characterization of multispectral aerial images of sugarcane
topic Caña de Azúcar
Imágenes Multiespectrales
Productividad
Sugar Cane
Multispectral Imagery
Productivity
url http://hdl.handle.net/20.500.12123/14769
https://iopscience.iop.org/article/10.1088/1742-6596/477/1/012016
https://doi.org/10.1088/1742-6596/477/1/012016
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AT schneidergerardo characterizationofmultispectralaerialimagesofsugarcane
AT kemereralejandracecilia characterizationofmultispectralaerialimagesofsugarcane
AT hadadalejandrojavier characterizationofmultispectralaerialimagesofsugarcane