An iot-based prototype for optimizing agricultural irrigation: a case study in the biobío region of Chile
This paper shows an agricultural irrigation alternative using a low-cost Internet of Things (IoT) application. This technology allows the automation and optimization of processes by monitoring, processing, and analyzing large volumes of related data, including variables related to the soil (moisture...
- Autores:
-
Saez Rojas, Juan I.
Pantoja, Jenny M.
Matamala, Mónica
Briceño, Inesmar C.
Vásconez, Juan Pablo
Romero-Conrado, Alfonso R.
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2024
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/13400
- Acceso en línea:
- https://hdl.handle.net/11323/13400
https://repositorio.cuc.edu.co/
- Palabra clave:
- Internet of things (IoT)
Agricultural irrigation
Water usage optimization
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
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An iot-based prototype for optimizing agricultural irrigation: a case study in the biobío region of Chile |
| title |
An iot-based prototype for optimizing agricultural irrigation: a case study in the biobío region of Chile |
| spellingShingle |
An iot-based prototype for optimizing agricultural irrigation: a case study in the biobío region of Chile Internet of things (IoT) Agricultural irrigation Water usage optimization |
| title_short |
An iot-based prototype for optimizing agricultural irrigation: a case study in the biobío region of Chile |
| title_full |
An iot-based prototype for optimizing agricultural irrigation: a case study in the biobío region of Chile |
| title_fullStr |
An iot-based prototype for optimizing agricultural irrigation: a case study in the biobío region of Chile |
| title_full_unstemmed |
An iot-based prototype for optimizing agricultural irrigation: a case study in the biobío region of Chile |
| title_sort |
An iot-based prototype for optimizing agricultural irrigation: a case study in the biobío region of Chile |
| dc.creator.fl_str_mv |
Saez Rojas, Juan I. Pantoja, Jenny M. Matamala, Mónica Briceño, Inesmar C. Vásconez, Juan Pablo Romero-Conrado, Alfonso R. |
| dc.contributor.author.none.fl_str_mv |
Saez Rojas, Juan I. Pantoja, Jenny M. Matamala, Mónica Briceño, Inesmar C. Vásconez, Juan Pablo Romero-Conrado, Alfonso R. |
| dc.subject.proposal.eng.fl_str_mv |
Internet of things (IoT) Agricultural irrigation Water usage optimization |
| topic |
Internet of things (IoT) Agricultural irrigation Water usage optimization |
| description |
This paper shows an agricultural irrigation alternative using a low-cost Internet of Things (IoT) application. This technology allows the automation and optimization of processes by monitoring, processing, and analyzing large volumes of related data, including variables related to the soil (moisture), fertilization, and irrigation, which can be visualized through the internet to enable sustainable and efficient agriculture. The study is centered on the Los Angeles, Biobío, Chile case. The main objective of the prototype is to optimize water consumption for agricultural irrigation by using only the amount that is strictly necessary for each crop by allowing real-time visualization of irrigation status, moisture data, and irrigation times while providing a history of data that can be used for further analysis. |
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2024 |
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2024-09-26T21:53:56Z |
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2024-09-26T21:53:56Z |
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2024 |
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Artículo de revista |
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Juan I. Saez Rojas, Jenny M. Pantoja, Mónica Matamala, Inesmar C. Briceño, Juan Pablo Vásconez, Alfonso R. Romero-Conrado, An IoT-Based Prototype for Optimizing Agricultural Irrigation: A Case Study in the Biobío Region of Chile, Procedia Computer Science, Volume 238, 2024, Pages 1009-1014, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2024.06.127. |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/11323/13400 |
| dc.identifier.doi.none.fl_str_mv |
10.1016/j.procs.2024.06.127 |
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1877-0509 |
| dc.identifier.instname.none.fl_str_mv |
Corporación Universidad de la Costa |
| dc.identifier.reponame.none.fl_str_mv |
REDICUC - Repositorio CUC |
| dc.identifier.repourl.none.fl_str_mv |
https://repositorio.cuc.edu.co/ |
| identifier_str_mv |
Juan I. Saez Rojas, Jenny M. Pantoja, Mónica Matamala, Inesmar C. Briceño, Juan Pablo Vásconez, Alfonso R. Romero-Conrado, An IoT-Based Prototype for Optimizing Agricultural Irrigation: A Case Study in the Biobío Region of Chile, Procedia Computer Science, Volume 238, 2024, Pages 1009-1014, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2024.06.127. 10.1016/j.procs.2024.06.127 1877-0509 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
| url |
https://hdl.handle.net/11323/13400 https://repositorio.cuc.edu.co/ |
| dc.language.iso.none.fl_str_mv |
eng |
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eng |
| dc.relation.ispartofjournal.none.fl_str_mv |
Procedia Computer Science |
| dc.relation.references.none.fl_str_mv |
[1] G. Xiao, N. Samian, M. F. M. Faizal, M. A. Z. M. As’ad, M. F. M. Fadzil, A. Abdullah, W. K. G. Seah, M. Ishak, I. Hermadi, A framework for blockchain and internet of things integration in improving food security in the food supply chain, Journal of Advanced Research in Applied Sciences and Engineering Technology 34 (2023) 24–37. doi:10.37934/araset.34.1.2437. [2] P. Miller, B. Reddy, M. Reddy, M. Sridhar, S. Bitra, Automatic Water Irrigation System Using IoT, Vol. Part F1851, 2024. doi:10.1007/ 978-3-031-09955-7_16. [3] P. A. Sri, K. K. Kumar, B. Prasad, G. V. Kumar, IoT-Based Smart Irrigation System, Vol. Part F1851, 2024. doi:10.1007/ 978-3-031-09955-7_24. [4] A. Manocha, S. Sood, M. Bhatia, Iot-digital twin-inspired smart irrigation approach for optimal water utilization, Sustainable Computing: Informatics and Systems 41 (2024). doi:10.1016/j.suscom.2023.100947. [5] A. Subeesh, C. Mehta, Automation and digitization of agriculture using artificial intelligence and internet of things, Artificial Intelligence in Agriculture 5 (2021) 278–291. doi:https://doi.org/10.1016/j.aiia.2021.11.004. [6] K. Kaushik, Smart Agriculture Applications Using Cloud and IoT, 2024. doi:10.1002/9781119905233.ch5. [7] E. Thirupathi, C. Adupa, P. Rao, V. Gunjan, S. Ahmed, Smart Agriculture Monitoring System Using IoT, Vol. Part F1851, 2024. doi: 10.1007/978-3-031-09955-7_28. [8] S. Das, A. Ghosh, S. Pal, INTERNET-OF-THINGS-ENABLED PRECISION AGRICULTURE FOR SUSTAINABLE RURAL DEVELOPMENT, 2024. doi:10.1201/9781003435228-21. [9] D. L. Cuasquer Chiscueth, Aplicacion de la tecnolog ´ ´ıa iot (internet of things) para la medicion de variables meteorol ´ ogicas en la agricultura ´ sostenible: aplicacion del iot en sensores de bajo costo que monitorean las variables de precipitaci ´ on, temperatura y humedad ambiental para ´ optimizar el uso del recurso h´ıdrico en la agricultura sostenible., B.S. thesis, Quito: EPN, 2022. (2022). [10] J. Chen, A. Yang, Intelligent agriculture and its key technologies based on internet of things architecture, IEEE Access 7 (2019) 77134–77141. doi:10.1109/ACCESS.2019.2921391. [11] G. M. Spinelli, Z. L. Gottesman, J. Deenik, A low-cost arduino-based datalogger with cellular modem and ftp communication for irrigation water use monitoring to enable access to cropmanage, HardwareX 6 (2019) e00066. [12] E. Crespo. Aprendiendo arduino [online] (2023). [13] J. E. Chaparro Mesa, N. Barrera Lombana, F. A. LeA Socha, ˜ MATerminal Remoto, para la adquisici ˜ Ade datos, monitoreo y control de procesos ˜ Agroindustriales - AgriculTIC, Ingeniare. Revista chilena de ingenierAa 29 (2021) 245 – 264. ˜ URL http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052021000200245&nrm=iso [14] A. Shilpa, V. Muneeswaran, D. K. D. Rathinam, A precise and autonomous irrigation system for agriculture: Iot based self propelled center pivot irrigation system, IEEE, 2019, pp. 533–538. doi:10.1109/ICACCS.2019.8728550. [15] Altronics. Altronicscl [online] (2023). [16] Mechatronicstorecl. Mechatronicstorecl [online] (2023). [17] MCIelectronics. Mcielectronics [online] (2023). [18] MobileHutMayorista. Mobilehutmayorista [online] (2023). [19] Uyustools. Uyustools [online] (2023). [20] N. Eddermoug, A. Mansour, M. Azmi, M. Sadik, E. Sabir, H. Bahassi, A literature review on attacks prevention and profiling in cloud computing, Procedia Computer Science 220 (2023) 970–977. doi:10.1016/j.procs.2023.03.134. [21] N. Eddermoug, A. Mansour, M. Sadik, E. Sabir, M. Azmi, klm-ppsa v. 1.1: machine learning-augmented profiling and preventing |
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© 2024 The Authors. Published by Elsevier B.V |
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Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) |
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6 páginas |
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Chile |
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Biobío Region |
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Elsevier B.V. |
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Netherlands |
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Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)© 2024 The Authors. Published by Elsevier B.Vhttps://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Saez Rojas, Juan I.Pantoja, Jenny M.Matamala, MónicaBriceño, Inesmar C.Vásconez, Juan PabloRomero-Conrado, Alfonso R.2024-09-26T21:53:56Z2024-09-26T21:53:56Z2024Juan I. Saez Rojas, Jenny M. Pantoja, Mónica Matamala, Inesmar C. Briceño, Juan Pablo Vásconez, Alfonso R. Romero-Conrado, An IoT-Based Prototype for Optimizing Agricultural Irrigation: A Case Study in the Biobío Region of Chile, Procedia Computer Science, Volume 238, 2024, Pages 1009-1014, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2024.06.127.https://hdl.handle.net/11323/1340010.1016/j.procs.2024.06.1271877-0509Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/This paper shows an agricultural irrigation alternative using a low-cost Internet of Things (IoT) application. This technology allows the automation and optimization of processes by monitoring, processing, and analyzing large volumes of related data, including variables related to the soil (moisture), fertilization, and irrigation, which can be visualized through the internet to enable sustainable and efficient agriculture. The study is centered on the Los Angeles, Biobío, Chile case. The main objective of the prototype is to optimize water consumption for agricultural irrigation by using only the amount that is strictly necessary for each crop by allowing real-time visualization of irrigation status, moisture data, and irrigation times while providing a history of data that can be used for further analysis.6 páginasapplication/pdfengElsevier B.V.Netherlandshttps://www.sciencedirect.com/science/article/pii/S1877050924013632?pes=vorAn iot-based prototype for optimizing agricultural irrigation: a case study in the biobío region of ChileArtículo de revistahttp://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_970fb48d4fbd8a85ChileBiobío RegionProcedia Computer Science[1] G. Xiao, N. Samian, M. F. M. Faizal, M. A. Z. M. As’ad, M. F. M. Fadzil, A. Abdullah, W. K. G. Seah, M. Ishak, I. Hermadi, A framework for blockchain and internet of things integration in improving food security in the food supply chain, Journal of Advanced Research in Applied Sciences and Engineering Technology 34 (2023) 24–37. doi:10.37934/araset.34.1.2437.[2] P. Miller, B. Reddy, M. Reddy, M. Sridhar, S. Bitra, Automatic Water Irrigation System Using IoT, Vol. Part F1851, 2024. doi:10.1007/ 978-3-031-09955-7_16.[3] P. A. Sri, K. K. Kumar, B. Prasad, G. V. Kumar, IoT-Based Smart Irrigation System, Vol. Part F1851, 2024. doi:10.1007/ 978-3-031-09955-7_24.[4] A. Manocha, S. Sood, M. Bhatia, Iot-digital twin-inspired smart irrigation approach for optimal water utilization, Sustainable Computing: Informatics and Systems 41 (2024). doi:10.1016/j.suscom.2023.100947.[5] A. Subeesh, C. Mehta, Automation and digitization of agriculture using artificial intelligence and internet of things, Artificial Intelligence in Agriculture 5 (2021) 278–291. doi:https://doi.org/10.1016/j.aiia.2021.11.004.[6] K. Kaushik, Smart Agriculture Applications Using Cloud and IoT, 2024. doi:10.1002/9781119905233.ch5.[7] E. Thirupathi, C. Adupa, P. Rao, V. Gunjan, S. Ahmed, Smart Agriculture Monitoring System Using IoT, Vol. Part F1851, 2024. doi: 10.1007/978-3-031-09955-7_28.[8] S. Das, A. Ghosh, S. Pal, INTERNET-OF-THINGS-ENABLED PRECISION AGRICULTURE FOR SUSTAINABLE RURAL DEVELOPMENT, 2024. doi:10.1201/9781003435228-21.[9] D. L. Cuasquer Chiscueth, Aplicacion de la tecnolog ´ ´ıa iot (internet of things) para la medicion de variables meteorol ´ ogicas en la agricultura ´ sostenible: aplicacion del iot en sensores de bajo costo que monitorean las variables de precipitaci ´ on, temperatura y humedad ambiental para ´ optimizar el uso del recurso h´ıdrico en la agricultura sostenible., B.S. thesis, Quito: EPN, 2022. (2022).[10] J. Chen, A. Yang, Intelligent agriculture and its key technologies based on internet of things architecture, IEEE Access 7 (2019) 77134–77141. doi:10.1109/ACCESS.2019.2921391.[11] G. M. Spinelli, Z. L. Gottesman, J. Deenik, A low-cost arduino-based datalogger with cellular modem and ftp communication for irrigation water use monitoring to enable access to cropmanage, HardwareX 6 (2019) e00066.[12] E. Crespo. Aprendiendo arduino [online] (2023).[13] J. E. Chaparro Mesa, N. Barrera Lombana, F. A. LeA Socha, ˜ MATerminal Remoto, para la adquisici ˜ Ade datos, monitoreo y control de procesos ˜ Agroindustriales - AgriculTIC, Ingeniare. Revista chilena de ingenierAa 29 (2021) 245 – 264. ˜ URL http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052021000200245&nrm=iso[14] A. Shilpa, V. Muneeswaran, D. K. D. Rathinam, A precise and autonomous irrigation system for agriculture: Iot based self propelled center pivot irrigation system, IEEE, 2019, pp. 533–538. doi:10.1109/ICACCS.2019.8728550.[15] Altronics. Altronicscl [online] (2023).[16] Mechatronicstorecl. Mechatronicstorecl [online] (2023).[17] MCIelectronics. Mcielectronics [online] (2023).[18] MobileHutMayorista. Mobilehutmayorista [online] (2023).[19] Uyustools. Uyustools [online] (2023).[20] N. Eddermoug, A. Mansour, M. Azmi, M. Sadik, E. Sabir, H. Bahassi, A literature review on attacks prevention and profiling in cloud computing, Procedia Computer Science 220 (2023) 970–977. doi:10.1016/j.procs.2023.03.134.[21] N. Eddermoug, A. Mansour, M. Sadik, E. Sabir, M. Azmi, klm-ppsa v. 1.1: machine learning-augmented profiling and preventing10141009238Internet of things (IoT)Agricultural irrigationWater usage optimizationPublicationORIGINALAn IoT-Based Prototype for Optimizing Agricultural Irrigation.pdfAn IoT-Based Prototype for Optimizing Agricultural Irrigation.pdfapplication/pdf597180https://repositorio.cuc.edu.co/bitstreams/2df91c31-f294-4949-bc80-a788534a8af3/download5660ee20d7ea113439da1fc37d533d21MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-815543https://repositorio.cuc.edu.co/bitstreams/feae63cf-a157-4e7e-bc8c-5ac037a975f8/download73a5432e0b76442b22b026844140d683MD52TEXTAn IoT-Based Prototype for Optimizing Agricultural Irrigation.pdf.txtAn IoT-Based Prototype for Optimizing Agricultural Irrigation.pdf.txtExtracted texttext/plain29473https://repositorio.cuc.edu.co/bitstreams/2b87f12c-33d1-435e-b2bc-0137e3d19347/download49a39df151334e1a3fdcc35b8eaf895bMD53THUMBNAILAn IoT-Based Prototype for Optimizing Agricultural Irrigation.pdf.jpgAn IoT-Based Prototype for Optimizing Agricultural Irrigation.pdf.jpgGenerated Thumbnailimage/jpeg13489https://repositorio.cuc.edu.co/bitstreams/2600906f-990c-4e0e-a270-574ac9a630d8/download46d2c0533ef558fafeb21d0d0ac378f8MD5411323/13400oai:repositorio.cuc.edu.co:11323/134002024-09-27 03:00:42.02https://creativecommons.org/licenses/by-nc-nd/4.0/© 2024 The Authors. Published by Elsevier B.Vopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa 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ara ejercer estos derechos sobre la Obra tal y como se indica a continuación:</p>
    <ol type="a">
      <li>Reproducir la Obra, incorporar la Obra en una o más Obras Colectivas, y reproducir la Obra incorporada en las Obras Colectivas.</li>
      <li>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.</li>
      <li>Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.</li>
    </ol>
    <p>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).</p>
  </li>
  <br/>
  <li>
    Restricciones.
    <p>La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:</p>
    <ol type="a">
      <li>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).</li>
      <li>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.</li>
      <li>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.</li>
      <li>
        Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:
        <ol type="i">
          <li>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.</li>
          <li>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.</li>
        </ol>
      </li>
      <li>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.</li>
    </ol>
  </li>
  <br/>
  <li>
    Representaciones, Garantías y Limitaciones de Responsabilidad.
    <p>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.</p>
  </li>
  <br/>
  <li>
    Limitación de responsabilidad.
    <p>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.</p>
  </li>
  <br/>
  <li>
    Término.
    <ol type="a">
      <li>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.</li>
      <li>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.</li>
    </ol>
  </li>
  <br/>
  <li>
    Varios.
    <ol type="a">
      <li>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.</li>
      <li>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.</li>
      <li>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.</li>
      <li>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.</li>
    </ol>
  </li>
  <br/>
</ol>
 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