Design of a wireless sensor network for optimal deployment of sensor nodes in a cocoa crop
In this study, factorial experiments were conducted in two different scenarios to design a Wireless Sensor Network for monitoring a cocoa crop in a rural area in Colombia. Node sensors measured temperature, relative humidity, soil moisture, Ultra-Violet light, and visible light intensity. The factor...
- Autores:
-
Celis, Jose Miguel
Escobar Amado, Christian David
Medina Delgado, Byron
Castro Casadiego, Sergio
Sepúlveda, Sergio
Guevara-Ibarra, Dinael
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Universidad Francisco de Paula Santander
- Repositorio:
- Repositorio Digital UFPS
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.ufps.edu.co:ufps/833
- Acceso en línea:
- http://repositorio.ufps.edu.co/handle/ufps/833
https://doi.org/10.22430/22565337.1361
- Palabra clave:
- Wireless sensor networks
factorial experiments,
agronomic crop
XBee module
ZigBee wireless
Red de sensores inalámbricos
experimentos factoriales
cultivo agronómico
módulo XBee
ZigBee inalámbrico
- Rights
- openAccess
- License
- (c) 2020 TecnoLógicas
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| dc.title.eng.fl_str_mv |
Design of a wireless sensor network for optimal deployment of sensor nodes in a cocoa crop |
| dc.title.spa.fl_str_mv |
Diseño de una red de sensores inalámbricos para el despliegue óptimo de los nodos sensores en un cultivo de cacao |
| title |
Design of a wireless sensor network for optimal deployment of sensor nodes in a cocoa crop |
| spellingShingle |
Design of a wireless sensor network for optimal deployment of sensor nodes in a cocoa crop Wireless sensor networks factorial experiments, agronomic crop XBee module ZigBee wireless Red de sensores inalámbricos experimentos factoriales cultivo agronómico módulo XBee ZigBee inalámbrico |
| title_short |
Design of a wireless sensor network for optimal deployment of sensor nodes in a cocoa crop |
| title_full |
Design of a wireless sensor network for optimal deployment of sensor nodes in a cocoa crop |
| title_fullStr |
Design of a wireless sensor network for optimal deployment of sensor nodes in a cocoa crop |
| title_full_unstemmed |
Design of a wireless sensor network for optimal deployment of sensor nodes in a cocoa crop |
| title_sort |
Design of a wireless sensor network for optimal deployment of sensor nodes in a cocoa crop |
| dc.creator.fl_str_mv |
Celis, Jose Miguel Escobar Amado, Christian David Medina Delgado, Byron Castro Casadiego, Sergio Sepúlveda, Sergio Guevara-Ibarra, Dinael |
| dc.contributor.author.none.fl_str_mv |
Celis, Jose Miguel Escobar Amado, Christian David Medina Delgado, Byron Castro Casadiego, Sergio Sepúlveda, Sergio Guevara-Ibarra, Dinael |
| dc.subject.proposal.eng.fl_str_mv |
Wireless sensor networks factorial experiments, agronomic crop XBee module ZigBee wireless |
| topic |
Wireless sensor networks factorial experiments, agronomic crop XBee module ZigBee wireless Red de sensores inalámbricos experimentos factoriales cultivo agronómico módulo XBee ZigBee inalámbrico |
| dc.subject.proposal.spa.fl_str_mv |
Red de sensores inalámbricos experimentos factoriales cultivo agronómico módulo XBee ZigBee inalámbrico |
| description |
In this study, factorial experiments were conducted in two different scenarios to design a Wireless Sensor Network for monitoring a cocoa crop in a rural area in Colombia. Node sensors measured temperature, relative humidity, soil moisture, Ultra-Violet light, and visible light intensity. The factors considered in the experiments were distance between node sensors, height from the ground, and type of antenna; in turn, Received Signal Strength Indicator and data transfer time were the outputs. The wireless sensor network was deployed in the crop, covering approximately 3 % of the area and using 7 different nodes in a cluster tree topology. First, an open field scenario with line of sight was used to determine the appropriate height of the node sensors. Second, a scenario in the actual cocoa crop was utilized to find the appropriate distance between modules and type of antenna. We found, based on our calculations and experimental data, that a height of 1.25 m was required to avoid the Fresnel zone and improve the RSSI of the network. Furthermore, we determined that a distance below 35 m was needed to guarantee signal reception and avoid long data transfer times. The wire antenna exhibited a better performance. Finally, the proposed methodology and monitoring system can be used for agronomic applications in rural areas in Colombia to increase crop yield. |
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2020 |
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2020-01-30 |
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2021-11-10T14:56:07Z |
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2021-11-10T14:56:07Z |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_6501 |
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2256-5337 |
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http://repositorio.ufps.edu.co/handle/ufps/833 |
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https://doi.org/10.22430/22565337.1361 |
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2256-5337 |
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http://repositorio.ufps.edu.co/handle/ufps/833 https://doi.org/10.22430/22565337.1361 |
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eng |
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eng |
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TecnoLógicas |
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Vol.23 No.47.(2020) |
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136 |
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47(2020) |
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23 |
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Celis-Peñaranda, J. M., Escobar-Amado, C. D., Sepúlveda-Mora, S. B., Castro-Casadiego , S. A., Medina-Delgado , B., & Guevara-Ibarra, D. (2020). Design of a Wireless Sensor Network for Optimal Deployment of Sensor Nodes in a Cocoa Crop. TecnoLógicas, 23(47), 121-136. https://doi.org/10.22430/22565337.1361 |
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TecnoLógicas |
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(c) 2020 TecnoLógicas |
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Atribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0) |
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(c) 2020 TecnoLógicas Atribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0) http://purl.org/coar/access_right/c_abf2 |
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openAccess |
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16 páginas |
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application/pdf |
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TecnoLógicas |
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Colombia |
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https://revistas.itm.edu.co/index.php/tecnologicas/article/view/1361 |
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Celis, Jose Miguelf212da97206f05fb58afbfd8a0a2c44b600Escobar Amado, Christian David9f62f246d163441cfecb47f9a1dcb6c0600Medina Delgado, Byron77a81f47bf20466c22fcea2d1e82a753600Castro Casadiego, Sergio539e8559e348f010cc825d040aecc665600Sepúlveda, Sergiof9ae22ff86139103bcba4c4de3e5c280600Guevara-Ibarra, Dinael8ef09800b4b82c251d64f251f83f65562021-11-10T14:56:07Z2021-11-10T14:56:07Z2020-01-302256-5337http://repositorio.ufps.edu.co/handle/ufps/833https://doi.org/10.22430/22565337.1361In this study, factorial experiments were conducted in two different scenarios to design a Wireless Sensor Network for monitoring a cocoa crop in a rural area in Colombia. Node sensors measured temperature, relative humidity, soil moisture, Ultra-Violet light, and visible light intensity. The factors considered in the experiments were distance between node sensors, height from the ground, and type of antenna; in turn, Received Signal Strength Indicator and data transfer time were the outputs. The wireless sensor network was deployed in the crop, covering approximately 3 % of the area and using 7 different nodes in a cluster tree topology. First, an open field scenario with line of sight was used to determine the appropriate height of the node sensors. Second, a scenario in the actual cocoa crop was utilized to find the appropriate distance between modules and type of antenna. We found, based on our calculations and experimental data, that a height of 1.25 m was required to avoid the Fresnel zone and improve the RSSI of the network. Furthermore, we determined that a distance below 35 m was needed to guarantee signal reception and avoid long data transfer times. The wire antenna exhibited a better performance. Finally, the proposed methodology and monitoring system can be used for agronomic applications in rural areas in Colombia to increase crop yield.En este trabajo se realizaron experimentos factoriales en dos escenarios diferentes,para diseñar una red de sensores inalámbricos, que permitamonitorear un cultivo de cacao en una zona rural de Colombia. Los nodos sensores miden la temperatura, la humedad relativa, la humedad del suelo, la luz ultravioleta y la intensidad de la luz visible. Los factores considerados en los experimentos fueron la distancia entre los nodossensores, la altura con respecto al suelo y el tipo de antena;el indicador de intensidad de señal recibida y el tiempo de transferencia de datos fueron las salidas.La red de sensores inalámbricos se implementó en el cultivo, cubriendo aproximadamente el 3% del área, utilizando 7 nodos diferentes en una topología de cluster-tree. En primer lugar, se utilizó un escenario de campo abierto con línea de vista para determinar la altura adecuada de los sensores de nodo. Luego, se utilizó un escenario en el cultivo de cacao real para encontrar la distancia adecuada entre los módulos y el tipo de antena. Se obtuvo,por cálculos y datos experimentales,que se requería una altura de 1.25 m para evitar la zona de Fresnel y mejorar el RSSI de la red. Además, se determinó que se necesitaba una distancia inferior a 35 m para garantizar la recepción de la señal y evitar largos tiempos de transferencia de datos. Adicionalmente, la antena tipo Wire exhibió un mayor rendimientoy la metodología propuesta y el sistema de monitoreo se pueden usar para aplicaciones agronómicas en áreas rurales de Colombia,con el fin deaumentar el rendimiento de los cultivos.16 páginasapplication/pdfengTecnoLógicasColombiaTecnoLógicasVol.23 No.47.(2020)13647(2020)12123Celis-Peñaranda, J. M., Escobar-Amado, C. D., Sepúlveda-Mora, S. B., Castro-Casadiego , S. A., Medina-Delgado , B., & Guevara-Ibarra, D. (2020). Design of a Wireless Sensor Network for Optimal Deployment of Sensor Nodes in a Cocoa Crop. TecnoLógicas, 23(47), 121-136. https://doi.org/10.22430/22565337.1361TecnoLógicas(c) 2020 TecnoLógicasinfo:eu-repo/semantics/openAccessAtribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)http://purl.org/coar/access_right/c_abf2https://revistas.itm.edu.co/index.php/tecnologicas/article/view/1361Design of a wireless sensor network for optimal deployment of sensor nodes in a cocoa cropDiseño de una red de sensores inalámbricos para el despliegue óptimo de los nodos sensores en un cultivo de cacaoArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Wireless sensor networksfactorial experiments,agronomic cropXBee moduleZigBee wirelessRed de sensores inalámbricosexperimentos factorialescultivo agronómicomódulo XBeeZigBee inalámbricoJ. Azcón-Bieto y M. Talón, Fundamentos de Fisiología Vegetal, Universidad de Barcelona: McGraw-Hill, 2008. Available: http://exa.unne.edu.ar/biologia/fisiologia.vegetal/FundamentosdeFisiologiaVegetalAzcon.pdfC. A. Vera Romero, J. E. Barbosa Jaimes, and D. C. Pabón González, “Acople de sensores en la medición de variables ambientales usando tecnología ZigBee,” Sci. Tech., vol. 19, no. 4, pp. 419–424, Dec. 2014. Available: https://revistas.utp.edu.co/index.php/revistaciencia/article/view/9252/5876Y. Li, X. Guo, R.-H. Shi, and F.-L. Yang, “Monitor and Control Wireless Sensor Nodes by B/S Architecture,” in 2014 International Conference on Wireless Communication and Sensor Network, Wuhan, 2014. pp. 204–206 https://doi.org/10.1109/WCSN.2014.48J. F. Monsalve-Posada, A. Arias-Londoño, and J. G. Mejía-Arango, “Desempeño de redes inalámbricas y redes industriales inalámbricas en procesos de control en tiempo real bajo ambientes industriales,” TecnoLógicas, vol. 18, no. 34, p. 87, Jan. 2015. https://doi.org/10.22430/22565337.215M. Lee, J. Hwang, and H. Yoe, “Agricultural Production System Based on IoT,” in 2013 IEEE 16th International Conference on Computational Science and Engineering, Sydney, 2013. pp. 833–837. https://doi.org/10.1109/CSE.2013.126J. Ma, X. Zhou, S. Li, and Z. Li, “Connecting Agriculture to the Internet of Things through Sensor Networks,” in 2011 International Conference on Internet of Things and 4th International Conference on Cyber, Physical and Social Computing, Dalian, 2011. pp. 184–187. https://doi.org/10.1109/iThings/CPSCom.2011.32Liang-Ying, G. Yun-feng, and Zhao-Wei, “Greenhouse environment monitoring system design based on WSN and GPRS networks,” in 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), Shenyang, 2015. pp. 795–798. https://doi.org/10.1109/CYBER.2015.7288044A. Cama-Pinto, F. Gil-Montoya, J. Gómez-López, A. García-Cruz, and F. Manzano-Agugliaro, “Wireless surveillance sytem for greenhouse crops,” Dyna, vol. 81, no. 184, pp. 164–170, Apr. 2014. https://doi.org/10.15446/dyna.v81n184.37034S. Ferdoush and X. Li, “Wireless Sensor Network System Design Using Raspberry Pi and Arduino for Environmental Monitoring Applications,” Procedia Comput. Sci., vol. 34, pp. 103–110, 2014. https://doi.org/10.1016/j.procs.2014.07.059M. S. Azimi Mahmud, S. Buyamin, M. M. Mokji, and M. S. Z. Abidin, “Internet of Things based Smart Environmental Monitoring for Mushroom Cultivation,” Indones. J. Electr. Eng. Comput. Sci., vol. 10, no. 3, pp. 847-852, Jun. 2018. Available: https://pdfs.semanticscholar.org/943e/1308bd9d2677cddc91853814fa779b8578e5.pdfM. S. M, S. Das, S. Heble, U. Raj, and R. Karthik, “Internet of Things based Wireless Plant Sensor for Smart Farming,” Indones. J. Electr. Eng. Comput. Sci., vol. 10, no. 2, pp. 456-468, May 2018. Available: https://pdfs.semanticscholar.org/eaa9/c145e6d76bb25a53df97bad85e2e7979e17b.pdfW. T. Sung, J. H. Chen, C. L. Hsiao, and J. S. Lin, “Multi-sensors Data Fusion Based on Arduino Board and XBee Module Technology,” in 2014 International Symposium on Computer, Consumer and Control, Taichung, 2014. pp. 422–425. https://doi.org/10.1109/IS3C.2014.117M. Pule, A. Yahya, and J. Chuma, “Wireless sensor networks: A survey on monitoring water quality,” J. Appl. Res. Technol., vol. 15, no. 6, pp. 562–570, Dec. 2017. https://doi.org/10.1016/j.jart.2017.07.00J. C. Correa-Chica, J. F. Botero-Vega, and N. 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 incorporada 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.
0000-0002-7594-8678f212da97206f05fb58afbfd8a0a2c44b6000000-0003-0754-862977a81f47bf20466c22fcea2d1e82a7536000000-0003-0962-9916539e8559e348f010cc825d040aecc6656000000-0002-1248-7616f9ae22ff861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