Processing Pipeline of Sugarcane Spectral Response to Characterize the Fallen Plants Phenomenon
Trabajo presentado al 20th Argentinean Bioengineering Society Congress, SABI 2015 (XX Congreso Argentino de Bioingeniería y IX Jornadas de Ingeniería Clínica)28–30 October 2015, San Nicolás de los Arroyos, Argentina
| Autores principales: | , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
IOP Science
2023
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| Acceso en línea: | http://hdl.handle.net/20.500.12123/14770 https://iopscience.iop.org/article/10.1088/1742-6596/705/1/012025 https://doi.org/10.1088/1742-6596/705/1/012025 |
| _version_ | 1855485425940955136 |
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| author | Solano, Agustín Kemerer, Alejandra Cecilia Hadad, Alejandro Javier |
| author_browse | Hadad, Alejandro Javier Kemerer, Alejandra Cecilia Solano, Agustín |
| author_facet | Solano, Agustín Kemerer, Alejandra Cecilia Hadad, Alejandro Javier |
| author_sort | Solano, Agustín |
| collection | INTA Digital |
| description | Trabajo presentado al 20th Argentinean Bioengineering Society Congress, SABI 2015 (XX Congreso Argentino de Bioingeniería y IX Jornadas de Ingeniería Clínica)28–30 October 2015, San Nicolás de los Arroyos, Argentina |
| format | Artículo |
| id | INTA14770 |
| 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 | INTA147702023-07-18T17:54:07Z Processing Pipeline of Sugarcane Spectral Response to Characterize the Fallen Plants Phenomenon Solano, Agustín Kemerer, Alejandra Cecilia Hadad, Alejandro Javier Caña de Azúcar Teledetección Imágenes Multiespectrales Manejo del Cultivo Sugar Cane Remote Sensing Multispectral Imagery Crop Management Trabajo presentado al 20th Argentinean Bioengineering Society Congress, SABI 2015 (XX Congreso Argentino de Bioingeniería y IX Jornadas de Ingeniería Clínica)28–30 October 2015, San Nicolás de los Arroyos, Argentina Nowadays, in agronomic systems it is possible to make a variable management of inputs to improve the efficiency of agronomic industry and optimize the logistics of the harvesting process. In this way, it was proposed for sugarcane culture the use of remote sensing tools and computational methods to identify useful areas in the cultivated lands. The objective was to use these areas to make variable management of the crop. When at the moment of harvesting the sugarcane there are fallen stalks, together with them some strange material (vegetal or mineral) is collected. This strange material is not millable and when it enters onto the sugar mill it causes important looses of efficiency in the sugar extraction processes and affects its quality. Considering this issue, the spectral response of sugarcane plants in aerial multispectral images was studied. The spectral response was analyzed in different bands of the electromagnetic spectrum. Then, the aerial images were segmented to obtain homogeneous regions useful for producers to make decisions related to the use of inputs and resources according to the variability of the system (existence of fallen cane and standing cane). The obtained segmentation results were satisfactory. It was possible to identify regions with fallen cane and regions with standing cane with high precision rates. EEA Paraná Fil: Solano, A. 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 2023-07-18T17:49:15Z 2023-07-18T17:49:15Z 2016 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/14770 https://iopscience.iop.org/article/10.1088/1742-6596/705/1/012025 1742-6596 https://doi.org/10.1088/1742-6596/705/1/012025 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 705 : 012025. (2016) |
| spellingShingle | Caña de Azúcar Teledetección Imágenes Multiespectrales Manejo del Cultivo Sugar Cane Remote Sensing Multispectral Imagery Crop Management Solano, Agustín Kemerer, Alejandra Cecilia Hadad, Alejandro Javier Processing Pipeline of Sugarcane Spectral Response to Characterize the Fallen Plants Phenomenon |
| title | Processing Pipeline of Sugarcane Spectral Response to Characterize the Fallen Plants Phenomenon |
| title_full | Processing Pipeline of Sugarcane Spectral Response to Characterize the Fallen Plants Phenomenon |
| title_fullStr | Processing Pipeline of Sugarcane Spectral Response to Characterize the Fallen Plants Phenomenon |
| title_full_unstemmed | Processing Pipeline of Sugarcane Spectral Response to Characterize the Fallen Plants Phenomenon |
| title_short | Processing Pipeline of Sugarcane Spectral Response to Characterize the Fallen Plants Phenomenon |
| title_sort | processing pipeline of sugarcane spectral response to characterize the fallen plants phenomenon |
| topic | Caña de Azúcar Teledetección Imágenes Multiespectrales Manejo del Cultivo Sugar Cane Remote Sensing Multispectral Imagery Crop Management |
| url | http://hdl.handle.net/20.500.12123/14770 https://iopscience.iop.org/article/10.1088/1742-6596/705/1/012025 https://doi.org/10.1088/1742-6596/705/1/012025 |
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