Precision agriculture and sensor systems applications in Colombia through 5G networks
The growing global demand for food and the environmental impact caused by agriculture have made this activity increasingly dependent on electronics, information technology, and telecommunications technologies. In Colombia, agriculture is of great importance not only as a commercial activity, but als...
- Autores:
-
ARRUBLA HOYOS, WILSON DE JESÚS
Ojeda Beltran, Adelaida
Solano-Barliza, Andrés D.
Rambauth-Ibarra, Geovanny
Barrios-Ulloa, Alexis
Cama-Pinto, Dora
Arrabal Campos, Francisco Manuel
Martínez Lao, Juan Antonio
Cama-Pinto, Alejandro
Manzano-Agugliaro, Francisco
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2022
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/9613
- Acceso en línea:
- https://hdl.handle.net/11323/9613
https://repositorio.cuc.edu.co/
- Palabra clave:
- 5G
Agriculture
Smart farm
Spectrum
Sustainability
Colombia
- Rights
- openAccess
- License
- Atribución 4.0 Internacional (CC BY 4.0)
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|
dc.title.eng.fl_str_mv |
Precision agriculture and sensor systems applications in Colombia through 5G networks |
title |
Precision agriculture and sensor systems applications in Colombia through 5G networks |
spellingShingle |
Precision agriculture and sensor systems applications in Colombia through 5G networks 5G Agriculture Smart farm Spectrum Sustainability Colombia |
title_short |
Precision agriculture and sensor systems applications in Colombia through 5G networks |
title_full |
Precision agriculture and sensor systems applications in Colombia through 5G networks |
title_fullStr |
Precision agriculture and sensor systems applications in Colombia through 5G networks |
title_full_unstemmed |
Precision agriculture and sensor systems applications in Colombia through 5G networks |
title_sort |
Precision agriculture and sensor systems applications in Colombia through 5G networks |
dc.creator.fl_str_mv |
ARRUBLA HOYOS, WILSON DE JESÚS Ojeda Beltran, Adelaida Solano-Barliza, Andrés D. Rambauth-Ibarra, Geovanny Barrios-Ulloa, Alexis Cama-Pinto, Dora Arrabal Campos, Francisco Manuel Martínez Lao, Juan Antonio Cama-Pinto, Alejandro Manzano-Agugliaro, Francisco |
dc.contributor.author.none.fl_str_mv |
ARRUBLA HOYOS, WILSON DE JESÚS Ojeda Beltran, Adelaida Solano-Barliza, Andrés D. Rambauth-Ibarra, Geovanny Barrios-Ulloa, Alexis Cama-Pinto, Dora Arrabal Campos, Francisco Manuel Martínez Lao, Juan Antonio Cama-Pinto, Alejandro Manzano-Agugliaro, Francisco |
dc.subject.proposal.eng.fl_str_mv |
5G Agriculture Smart farm Spectrum Sustainability |
topic |
5G Agriculture Smart farm Spectrum Sustainability Colombia |
dc.subject.proposal.spa.fl_str_mv |
Colombia |
description |
The growing global demand for food and the environmental impact caused by agriculture have made this activity increasingly dependent on electronics, information technology, and telecommunications technologies. In Colombia, agriculture is of great importance not only as a commercial activity, but also as a source of food and employment. However, the concept of smart agriculture has not been widely applied in this country, resulting in the high production of various types of crops due to the planting of large areas of land, rather than optimization of the processes involved in the activity. Due to its technical characteristics and the radio spectrum considered in its deployment, 5G can be seen as one of the technologies that could generate the greatest benefits for the Colombian agricultural sector, especially in the most remote rural areas, which currently lack mobile network coverage. This article provides an overview of the current 5G technology landscape in Colombia and presents examples of possible 5G/IoT applications that could be developed in Colombian fields. The results show that 5G could facilitate the implementation of the smart farm in Colombia, improving current production and efficiency. It is useful when designing 5G implementation plans and strategies, since it categorizes crops by regions and products. This is based on budget availability, population density, and regional development plans, among others. |
publishDate |
2022 |
dc.date.accessioned.none.fl_str_mv |
2022-11-10T13:13:13Z |
dc.date.available.none.fl_str_mv |
2022-11-10T13:13:13Z |
dc.date.issued.none.fl_str_mv |
2022-09-26 |
dc.type.spa.fl_str_mv |
Artículo de revista |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.coarversion.spa.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
format |
http://purl.org/coar/resource_type/c_2df8fbb1 |
status_str |
publishedVersion |
dc.identifier.citation.spa.fl_str_mv |
Arrubla-Hoyos, W.; Ojeda-Beltrán, A.; Solano-Barliza, A.; Rambauth-Ibarra, G.; Barrios-Ulloa, A.; Cama-Pinto, D.; Arrabal-Campos, F.M.; Martínez-Lao, J.A.; Cama-Pinto, A.; Manzano-Agugliaro, F. Precision Agriculture and Sensor Systems Applications in Colombia through 5G Networks. Sensors 2022, 22, 7295. https://doi.org/10.3390/s22197295 |
dc.identifier.issn.spa.fl_str_mv |
1424-3210 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/11323/9613 |
dc.identifier.doi.none.fl_str_mv |
10.3390/s22197295 |
dc.identifier.eissn.spa.fl_str_mv |
1424-8220 |
dc.identifier.instname.spa.fl_str_mv |
Corporación Universidad de la Costa |
dc.identifier.reponame.spa.fl_str_mv |
REDICUC - Repositorio CUC |
dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.cuc.edu.co/ |
identifier_str_mv |
Arrubla-Hoyos, W.; Ojeda-Beltrán, A.; Solano-Barliza, A.; Rambauth-Ibarra, G.; Barrios-Ulloa, A.; Cama-Pinto, D.; Arrabal-Campos, F.M.; Martínez-Lao, J.A.; Cama-Pinto, A.; Manzano-Agugliaro, F. Precision Agriculture and Sensor Systems Applications in Colombia through 5G Networks. Sensors 2022, 22, 7295. https://doi.org/10.3390/s22197295 1424-3210 10.3390/s22197295 1424-8220 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
url |
https://hdl.handle.net/11323/9613 https://repositorio.cuc.edu.co/ |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartofjournal.spa.fl_str_mv |
Sensors |
dc.relation.references.spa.fl_str_mv |
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Government of La Guajira. Departmental Development Plan of La Guajira ‘United for Change 2020–2023’. Available online: https://www.laguajira.gov.co/NuestraGestion/PlaneacionGestionyControl/PDM%202020.pdf (accessed on 8 August 2022). 132. AGRONET La Guajira. Main Crops by Area Planted in 2017. 2017. Available online: https://www.agronet.gov.co/Documents/ LA%20GUAJIRA_2017.pdf (accessed on 8 August 2022). 133. Colombia Tourist Information Center National Statistics. National Natural Parks. 2021. Available online: https://citur.gov.co/ estadisticas/df_parques_naturales/detalle/18?t=1#gsc.tab=0 (accessed on 8 August 2022). 134. Government of Magdalena. Departmental Development Plan ‘Magdalena Renace 2020–2023’. Available online: https: //magdalena.micolombiadigital.gov.co/sites/magdalena/content/files/000782/39075_plan-de-desarrollo-departamentalmagdalena-renace-2020--2023-1.pdf (accessed on 8 August 2022). 135. AGRONET Magdalena. Main Crops by Planted Area in 2017. 2018. 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Departmental Development Plan ‘My Nariño, in Defense of What Is Ours’ 2020–2023. Available online: https://sitio.narino.gov.co/wp-content/uploads/2020/11/Plan_de_Desarrollo_Mi_Narino_en_Defensa_de_lo_Nuestro_ 2020-2023.pdf (accessed on 8 August 2022). 144. AGRONET Nariño. Main Crops by Areas Planted in 2017. 2017. Available online: https://www.agronet.gov.co/Documents/ NARI~{}NO_2017.pdf (accessed on 8 August 2022). 145. SITUR Nariño. Tourist Attractions. Available online: https://situr.narino.gov.co/atractivos-turisticos (accessed on 8 August 2022). 146. Government of Valle del Cauca. Development Plan ‘Invincible Valle’ 2020–2023. Available online: https://www.valledelcauca. gov.co/loader.php?lServicio=Tools2&lTipo=viewpdf&id=48214 (accessed on 8 August 2022). 147. AGRONET Valle del Cauca. Main Crops by Areas Planted in 2017. 2018. Available online: https://www.agronet.gov.co/ Documents/VALLE%20DEL%20CAUCA_2017.pdf (accessed on 8 August 2022). 148. Government of Arauca. Arauca Departmental Participative Development Plan ‘Building the Future’ 2020–2023. Available online: https://www.arauca.gov.co/mapa-red-hospitalaria-del-departamento-de-arauca/62-plan-de-desarrollo/2825-plande-desarrollo-departamental-2020-2023 (accessed on 8 August 2022). 149. AGRONET Arauca. Main Crops by Areas Planted in 2017. 2018. Available online: https://www.agronet.gov.co/Documents/ ARAUCA_2017.pdf (accessed on 8 August 2022). 150. Government of Casanare. Development Plan 2020–2023. It Is Time for Productive, Equitable and Sustainable Casanare. Available online: https://www.casanare.gov.co/NuestraGestion/PlaneacionGestionyControl/ORDENANZA%20002-2020%20PLAN% 20DE%20DESARROLLO.pdf (accessed on 8 August 2022). 151. AGRONET Casanare. Main Crops by Areas Planted in 2017. 2018. Available online: https://www.agronet.gov.co/Documents/ CASANARE_2017.pdf (accessed on 8 August 2022). 152. Government of Meta. 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Design of the networked precision irrigation system for paddy field crops in intelligent agriculture. Nongye Gongcheng Xuebao Trans. Chin. Soc. Agric. Eng. 2021, 37, 71–81. [CrossRef] 157. Paris, P.; Camilli, F.; Rosati, A.; Mantino, A.; Mezzalira, G.; Valle, C.D.; Franca, A.; Seddaiu, G.; Pisanelli, A.; Lauteri, M.; et al. What is the future for agroforestry in Italy? Agrofor. Syst. 2019, 93, 2243–2256. [CrossRef] 158. Barrios-Ulloa, A.; Cama-Pinto, D.; Mardini-Bovea, J.; Díaz-Martínez, J.; Cama-Pinto, A. Projections of IoT Applications in Colombia Using 5G Wireless Networks. Sensors 2021, 21, 7167. [CrossRef] 159. Chaparro Mesa, J.E.; Barrera Lombana, N.; León Socha, F.A.; Chaparro Mesa, J.E.; Barrera Lombana, N.; León Socha, F.A. Remote Terminal Module, for data acquisition, monitoring and control of Agro-industrial processes-AgriculTIC. Ingeniare Rev. Chil. Ing. 2021, 29, 245–264. [CrossRef] 160. Núñez, V.J.M.; Fonthal, R.F.; Quezada, L.Y.M. Design and Implementation of WSN and IoT for Precision Agriculture in Tomato Crops. In Proceedings of the 2018 IEEE ANDESCON, Cali, Colombia, 22–24 August 2018; pp. 1–5. [CrossRef] 161. Hincapié Gómez, E.; Sánchez Benítez, J.; Carbonell González, J.A. IoT Network Applied to Agriculture: Monitoring Stations for Irrigation Management in Soils Cultivated with Sugarcane. In Advances in Information and Communication Technologies for Adapting Agriculture to Climate Change II; Springer: Cham, Switzerland, 2019; pp. 249–259. [CrossRef] 162. Irrigation Control in Ahuyama Crops in Sincelejo, Sucre (Colombia) Managed through the Internet of Things (IoT). Available online: https://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-07642020000500079&lng=en&nrm=iso&tlng=en (accessed on 8 August 2022). 163. Rodríguez, P.J.; Montoya-Munoz, A.I.; Rodriguez-Pabon, C.; Hoyos, J.; Corrales, C.J. IoT-Agro: A smart farming system to Colombian coffee farms. Comput. Electron. Agric. 2021, 190, 106442. [CrossRef] 164. Camacho, A.; Arguello, H. Smartphone-based application for agricultural remote technical assistance and estimation of visible vegetation index to farmer in Colombia: AgroTIC. In Remote Sensing for Agriculture, Ecosystems, and Hydrology XX; SPIE: New York, NY, USA, 2018; Volume 10783, pp. 137–148. [CrossRef] |
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Atribución 4.0 Internacional (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2ARRUBLA HOYOS, WILSON DE JESÚSOjeda Beltran, AdelaidaSolano-Barliza, Andrés D.Rambauth-Ibarra, GeovannyBarrios-Ulloa, AlexisCama-Pinto, DoraArrabal Campos, Francisco ManuelMartínez Lao, Juan AntonioCama-Pinto, AlejandroManzano-Agugliaro, Francisco2022-11-10T13:13:13Z2022-11-10T13:13:13Z2022-09-26Arrubla-Hoyos, W.; Ojeda-Beltrán, A.; Solano-Barliza, A.; Rambauth-Ibarra, G.; Barrios-Ulloa, A.; Cama-Pinto, D.; Arrabal-Campos, F.M.; Martínez-Lao, J.A.; Cama-Pinto, A.; Manzano-Agugliaro, F. Precision Agriculture and Sensor Systems Applications in Colombia through 5G Networks. Sensors 2022, 22, 7295. https://doi.org/10.3390/s221972951424-3210https://hdl.handle.net/11323/961310.3390/s221972951424-8220Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The growing global demand for food and the environmental impact caused by agriculture have made this activity increasingly dependent on electronics, information technology, and telecommunications technologies. In Colombia, agriculture is of great importance not only as a commercial activity, but also as a source of food and employment. However, the concept of smart agriculture has not been widely applied in this country, resulting in the high production of various types of crops due to the planting of large areas of land, rather than optimization of the processes involved in the activity. Due to its technical characteristics and the radio spectrum considered in its deployment, 5G can be seen as one of the technologies that could generate the greatest benefits for the Colombian agricultural sector, especially in the most remote rural areas, which currently lack mobile network coverage. This article provides an overview of the current 5G technology landscape in Colombia and presents examples of possible 5G/IoT applications that could be developed in Colombian fields. The results show that 5G could facilitate the implementation of the smart farm in Colombia, improving current production and efficiency. It is useful when designing 5G implementation plans and strategies, since it categorizes crops by regions and products. 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[CrossRef]22119225GAgricultureSmart farmSpectrumSustainabilityColombiaPublicationORIGINALPrecision Agriculture and Sensor Systems Applications in Colombia through 5G Networks.pdfPrecision Agriculture and Sensor Systems Applications in Colombia through 5G Networks.pdfArtículoapplication/pdf3251566https://repositorio.cuc.edu.co/bitstreams/48c8d4d6-704c-47fa-9e01-a9b72d1c670c/download3e65c5a9663ec2ff9a800e87e9539442MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-814828https://repositorio.cuc.edu.co/bitstreams/4238c190-109e-48bc-8749-608e9e996008/download2f9959eaf5b71fae44bbf9ec84150c7aMD52TEXTPrecision Agriculture and Sensor Systems Applications in Colombia through 5G Networks.pdf.txtPrecision Agriculture and Sensor Systems Applications in Colombia through 5G Networks.pdf.txtExtracted texttext/plain103373https://repositorio.cuc.edu.co/bitstreams/192d4b3b-2572-4543-a911-588c8d916f7b/download779dac799af193f53130b13cdfd4531cMD53THUMBNAILPrecision Agriculture and Sensor Systems 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ada en las Obras Colectivas.

b.	Distribuir copias o fonogramas de las Obras, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública, incluyéndolas como incorporadas en Obras Colectivas, según corresponda.

c.	Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.
Los derechos mencionados anteriormente pueden ser ejercidos en todos los medios y formatos, actualmente conocidos o que se inventen en el futuro. Los derechos antes mencionados incluyen el derecho a realizar dichas modificaciones en la medida que sean técnicamente necesarias para ejercer los derechos en otro medio o formatos, pero de otra manera usted no está autorizado para realizar obras derivadas. Todos los derechos no otorgados expresamente por el Licenciante quedan por este medio reservados, incluyendo pero sin limitarse a aquellos que se mencionan en las secciones 4(d) y 4(e).

4. Restricciones.
La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:

a.	Usted puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra sólo bajo las condiciones de esta Licencia, y Usted debe incluir una copia de esta licencia o del Identificador Universal de Recursos de la misma con cada copia de la Obra que distribuya, exhiba públicamente, ejecute públicamente o ponga a disposición pública. No es posible ofrecer o imponer ninguna condición sobre la Obra que altere o limite las condiciones de esta Licencia o el ejercicio de los derechos de los destinatarios otorgados en este documento. No es posible sublicenciar la Obra. Usted debe mantener intactos todos los avisos que hagan referencia a esta Licencia y a la cláusula de limitación de garantías. Usted no puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra con alguna medida tecnológica que controle el acceso o la utilización de ella de una forma que sea inconsistente con las condiciones de esta Licencia. Lo anterior se aplica a la Obra incorporada a una Obra Colectiva, pero esto no exige que la Obra Colectiva aparte de la obra misma quede sujeta a las condiciones de esta Licencia. Si Usted crea una Obra Colectiva, previo aviso de cualquier Licenciante debe, en la medida de lo posible, eliminar de la Obra Colectiva cualquier referencia a dicho Licenciante o al Autor Original, según lo solicitado por el Licenciante y conforme lo exige la cláusula 4(c).

b.	Usted no puede ejercer ninguno de los derechos que le han sido otorgados en la Sección 3 precedente de modo que estén principalmente destinados o directamente dirigidos a conseguir un provecho comercial o una compensación monetaria privada. El intercambio de la Obra por otras obras protegidas por derechos de autor, ya sea a través de un sistema para compartir archivos digitales (digital file-sharing) o de cualquier otra manera no será considerado como estar destinado principalmente o dirigido directamente a conseguir un provecho comercial o una compensación monetaria privada, siempre que no se realice un pago mediante una compensación monetaria en relación con el intercambio de obras protegidas por el derecho de autor.

c.	Si usted distribuye, exhibe públicamente, ejecuta públicamente o ejecuta públicamente en forma digital la Obra o cualquier Obra Derivada u Obra Colectiva, Usted debe mantener intacta toda la información de derecho de autor de la Obra y proporcionar, de forma razonable según el medio o manera que Usted esté utilizando: (i) el nombre del Autor Original si está provisto (o seudónimo, si fuere aplicable), y/o (ii) el nombre de la parte o las partes que el Autor Original y/o el Licenciante hubieren designado para la atribución (v.g., un instituto patrocinador, editorial, publicación) en la información de los derechos de autor del Licenciante, términos de servicios o de otras formas razonables; el título de la Obra si está provisto; en la medida de lo razonablemente factible y, si está provisto, el Identificador Uniforme de Recursos (Uniform Resource Identifier) que el Licenciante especifica para ser asociado con la Obra, salvo que tal URI no se refiera a la nota sobre los derechos de autor o a la información sobre el licenciamiento de la Obra; y en el caso de una Obra Derivada, atribuir el crédito identificando el uso de la Obra en la Obra Derivada (v.g., "Traducción Francesa de la Obra del Autor Original," o "Guión Cinematográfico basado en la Obra original del Autor Original"). Tal crédito puede ser implementado de cualquier forma razonable; en el caso, sin embargo, de Obras Derivadas u Obras Colectivas, tal crédito aparecerá, como mínimo, donde aparece el crédito de cualquier otro autor comparable y de una manera, al menos, tan destacada como el crédito de otro autor comparable.

d.	Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:

i.	Regalías por interpretación y ejecución bajo licencias generales. El Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública o la ejecución pública digital de la obra y de recolectar, sea individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, SAYCO), las regalías por la ejecución pública o por la ejecución pública digital de la obra (por ejemplo Webcast) licenciada bajo licencias generales, si la interpretación o ejecución de la obra está primordialmente orientada por o dirigida a la obtención de una ventaja comercial o una compensación monetaria privada.

ii.	Regalías por Fonogramas. El Licenciante se reserva el derecho exclusivo de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, los consagrados por la SAYCO), una agencia de derechos musicales o algún agente designado, las regalías por cualquier fonograma que Usted cree a partir de la obra (“versión cover”) y distribuya, en los términos del régimen de derechos de autor, si la creación o distribución de esa versión cover está primordialmente destinada o dirigida a obtener una ventaja comercial o una compensación monetaria privada.

e.	Gestión de Derechos de Autor sobre Interpretaciones y Ejecuciones Digitales (WebCasting). Para evitar toda confusión, el Licenciante aclara que, cuando la obra sea un fonograma, el Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública digital de la obra (por ejemplo, webcast) y de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, ACINPRO), las regalías por la ejecución pública digital de la obra (por ejemplo, webcast), sujeta a las disposiciones aplicables del régimen de Derecho de Autor, si esta ejecución pública digital está primordialmente dirigida a obtener una ventaja comercial o una compensación monetaria privada.

5. Representaciones, Garantías y Limitaciones de Responsabilidad.
A MENOS QUE LAS PARTES LO ACORDARAN DE OTRA FORMA POR ESCRITO, EL LICENCIANTE OFRECE LA OBRA (EN EL ESTADO EN EL QUE SE ENCUENTRA) “TAL CUAL”, SIN BRINDAR GARANTÍAS DE CLASE ALGUNA RESPECTO DE LA OBRA, YA SEA EXPRESA, IMPLÍCITA, LEGAL O CUALQUIERA OTRA, INCLUYENDO, SIN LIMITARSE A ELLAS, GARANTÍAS DE TITULARIDAD, COMERCIABILIDAD, ADAPTABILIDAD O ADECUACIÓN A PROPÓSITO DETERMINADO, AUSENCIA DE INFRACCIÓN, DE AUSENCIA DE DEFECTOS LATENTES O DE OTRO TIPO, O LA PRESENCIA O AUSENCIA DE ERRORES, SEAN O NO DESCUBRIBLES (PUEDAN O NO SER ESTOS DESCUBIERTOS). ALGUNAS JURISDICCIONES NO PERMITEN LA EXCLUSIÓN DE GARANTÍAS IMPLÍCITAS, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

6. Limitación de responsabilidad.
A MENOS QUE LO EXIJA EXPRESAMENTE LA LEY APLICABLE, EL LICENCIANTE NO SERÁ RESPONSABLE ANTE USTED POR DAÑO ALGUNO, SEA POR RESPONSABILIDAD EXTRACONTRACTUAL, PRECONTRACTUAL O CONTRACTUAL, OBJETIVA O SUBJETIVA, SE TRATE DE DAÑOS MORALES O PATRIMONIALES, DIRECTOS O INDIRECTOS, PREVISTOS O IMPREVISTOS PRODUCIDOS POR EL USO DE ESTA LICENCIA O DE LA OBRA, AUN CUANDO EL LICENCIANTE HAYA SIDO ADVERTIDO DE LA POSIBILIDAD DE DICHOS DAÑOS. ALGUNAS LEYES NO PERMITEN LA EXCLUSIÓN DE CIERTA RESPONSABILIDAD, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

7. Término.

a.	Esta Licencia y los derechos otorgados en virtud de ella terminarán automáticamente si Usted infringe alguna condición establecida en ella. Sin embargo, los individuos o entidades que han recibido Obras Derivadas o Colectivas de Usted de conformidad con esta Licencia, no verán terminadas sus licencias, siempre que estos individuos o entidades sigan cumpliendo íntegramente las condiciones de estas licencias. Las Secciones 1, 2, 5, 6, 7, y 8 subsistirán a cualquier terminación de esta Licencia.

b.	Sujeta a las condiciones y términos anteriores, la licencia otorgada aquí es perpetua (durante el período de vigencia de los derechos de autor de la obra). No obstante lo anterior, el Licenciante se reserva el derecho a publicar y/o estrenar la Obra bajo condiciones de licencia diferentes o a dejar de distribuirla en los términos de esta Licencia en cualquier momento; en el entendido, sin embargo, que esa elección no servirá para revocar esta licencia o que deba ser otorgada , bajo los términos de esta licencia), y esta licencia continuará en pleno vigor y efecto a menos que sea terminada como se expresa atrás. La Licencia revocada continuará siendo plenamente vigente y efectiva si no se le da término en las condiciones indicadas anteriormente.

8. Varios.

a.	Cada vez que Usted distribuya o ponga a disposición pública la Obra o una Obra Colectiva, el Licenciante ofrecerá al destinatario una licencia en los mismos términos y condiciones que la licencia otorgada a Usted bajo esta Licencia.

b.	Si alguna disposición de esta Licencia resulta invalidada o no exigible, según la legislación vigente, esto no afectará ni la validez ni la aplicabilidad del resto de condiciones de esta Licencia y, sin acción adicional por parte de los sujetos de este acuerdo, aquélla se entenderá reformada lo mínimo necesario para hacer que dicha disposición sea válida y exigible.

c.	Ningún término o disposición de esta Licencia se estimará renunciada y ninguna violación de ella será consentida a menos que esa renuncia o consentimiento sea otorgado por escrito y firmado por la parte que renuncie o consienta.

d.	Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.
 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