Irrigation system for oil palm in Colombia - an internet of things approach
In this article, we show a prototype of an irrigation system for oil palm plantations in Colombia. We make use of a predictive control model to improve the irrigation schedule. This model takes weather predictions from the Internet and uses them in the control model as a new variable to take into ac...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2017
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/8948
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/8948
- Palabra clave:
- Internet of things
Irrigation
Oil palm
Predictive control
Soil moisture
Crops
Internet of things
Irrigation
Model predictive control
Moisture
Moisture control
Soil moisture
Soils
Internet of thing (IOT)
Irrigation schedule
Oil palm
Oil palm plantations
Predictive control
Predictive control models
Soil moisture sensors
Weather prediction
Palm oil
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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Irrigation system for oil palm in Colombia - an internet of things approach |
| title |
Irrigation system for oil palm in Colombia - an internet of things approach |
| spellingShingle |
Irrigation system for oil palm in Colombia - an internet of things approach Internet of things Irrigation Oil palm Predictive control Soil moisture Crops Internet of things Irrigation Model predictive control Moisture Moisture control Soil moisture Soils Internet of thing (IOT) Irrigation schedule Oil palm Oil palm plantations Predictive control Predictive control models Soil moisture sensors Weather prediction Palm oil |
| title_short |
Irrigation system for oil palm in Colombia - an internet of things approach |
| title_full |
Irrigation system for oil palm in Colombia - an internet of things approach |
| title_fullStr |
Irrigation system for oil palm in Colombia - an internet of things approach |
| title_full_unstemmed |
Irrigation system for oil palm in Colombia - an internet of things approach |
| title_sort |
Irrigation system for oil palm in Colombia - an internet of things approach |
| dc.contributor.editor.none.fl_str_mv |
Figueroa-Garcia J.C. Lopez-Santana E.R. Ferro-Escobar R. Villa Ramírez, José Luis |
| dc.subject.keywords.none.fl_str_mv |
Internet of things Irrigation Oil palm Predictive control Soil moisture Crops Internet of things Irrigation Model predictive control Moisture Moisture control Soil moisture Soils Internet of thing (IOT) Irrigation schedule Oil palm Oil palm plantations Predictive control Predictive control models Soil moisture sensors Weather prediction Palm oil |
| topic |
Internet of things Irrigation Oil palm Predictive control Soil moisture Crops Internet of things Irrigation Model predictive control Moisture Moisture control Soil moisture Soils Internet of thing (IOT) Irrigation schedule Oil palm Oil palm plantations Predictive control Predictive control models Soil moisture sensors Weather prediction Palm oil |
| description |
In this article, we show a prototype of an irrigation system for oil palm plantations in Colombia. We make use of a predictive control model to improve the irrigation schedule. This model takes weather predictions from the Internet and uses them in the control model as a new variable to take into account when it comes to deciding whether the crops should be irrigated or not. A soil moisture sensor is used to both validate if the decision was correct and maintain the crop within the desired range of soil moisture. With this work, we want to give farmers the opportunity to embrace the Internet of Things (IoT) as a technology that can make their job easier and with better productivity in their plantations. © 2017, Springer International Publishing AG. |
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2017 |
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2017 |
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2020-03-26T16:32:38Z |
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2020-03-26T16:32:38Z |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Conferencia |
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Communications in Computer and Information Science; Vol. 742, pp. 300-311 |
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9783319669625 |
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18650929 |
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https://hdl.handle.net/20.500.12585/8948 |
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10.1007/978-3-319-66963-2_27 |
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Universidad Tecnológica de Bolívar |
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Repositorio UTB |
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57195914875 56682785300 55515784100 26325154200 |
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Communications in Computer and Information Science; Vol. 742, pp. 300-311 9783319669625 18650929 10.1007/978-3-319-66963-2_27 Universidad Tecnológica de Bolívar Repositorio UTB 57195914875 56682785300 55515784100 26325154200 |
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https://hdl.handle.net/20.500.12585/8948 |
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eng |
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eng |
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27 September 2017 through 29 September 2017 |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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Springer Verlag |
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Springer Verlag |
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Figueroa-Garcia J.C.Lopez-Santana E.R.Ferro-Escobar R.Villa Ramírez, José LuisDelgado I.B.Colorado L.A.M.Argüello Prada E.J.Martínez-Santos J.C.2020-03-26T16:32:38Z2020-03-26T16:32:38Z2017Communications in Computer and Information Science; Vol. 742, pp. 300-311978331966962518650929https://hdl.handle.net/20.500.12585/894810.1007/978-3-319-66963-2_27Universidad Tecnológica de BolívarRepositorio UTB57195914875566827853005551578410026325154200In this article, we show a prototype of an irrigation system for oil palm plantations in Colombia. We make use of a predictive control model to improve the irrigation schedule. This model takes weather predictions from the Internet and uses them in the control model as a new variable to take into account when it comes to deciding whether the crops should be irrigated or not. A soil moisture sensor is used to both validate if the decision was correct and maintain the crop within the desired range of soil moisture. With this work, we want to give farmers the opportunity to embrace the Internet of Things (IoT) as a technology that can make their job easier and with better productivity in their plantations. © 2017, Springer International Publishing AG.Department of Science, Information Technology and Innovation, Queensland Government Departamento Administrativo de Ciencia, Tecnología e Innovación, COLCIENCIAS: Colciencias Ministry of Information and Communications Technology, Iran FP44842-502-2015Acknowledgment. The authors would like to acknowledge the cooperation of all partners within the Centro de Excelencia y Apropiación en Internet de las Cosas (CEA-IoT) project. The authors would also like to thank all the institutions that supported this work: the Colombian Ministry for the Information and Communications Technology (Ministerio de Tecnologías de la Información y las Comunicaciones - MinTIC) and the Colombian Administrative Department of Science, Technology and Innovation (Departamento Administrativo de Ciencia, Tecnología e Innovación - Colciencias) through the Fondo Nacional de Financiamiento para la Ciencia, la Tecnología y la Innovación Francisco Joséde Caldas (Project ID: FP44842-502-2015).Recurso electrónicoapplication/pdfengSpringer Verlaghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_16echttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85030029940&doi=10.1007%2f978-3-319-66963-2_27&partnerID=40&md5=8634cfc92bc549a01e1c9e8a4b6b4a694th Workshop on Engineering Applications, WEA 2017Irrigation system for oil palm in Colombia - an internet of things approachinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionConferenciahttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fInternet of thingsIrrigationOil palmPredictive controlSoil moistureCropsInternet of thingsIrrigationModel predictive controlMoistureMoisture controlSoil moistureSoilsInternet of thing (IOT)Irrigation scheduleOil palmOil palm plantationsPredictive controlPredictive control modelsSoil moisture sensorsWeather predictionPalm oil27 September 2017 through 29 September 2017Gasparatos, A., Stromberg, P., Takeuchi, K., Biofuels, ecosystem services and human wellbeing: Putting biofuels in the ecosystem services narrative (2011) Agric. Ecosyst. Environ., 142 (3), pp. 111-128Escobar, J.C., Lora, E.S., Venturini, O.J., Yáñez, E.E., Castillo, E.F., Almazan, O., Biofuels: Environment, technology and food security (2009) Renew. Sustain. Energy Rev., 13 (6), pp. 1275-1287Chin, H.C., Choong, W.W., Alwi, S.R.W., Mohammed, A.H., Issues of social acceptance on biofuel development (2014) J. Clean. Prod., 71, pp. 30-39Knothe, G., Krahl, J., Van Gerpen, J., (2015) The Biodiesel Handbook, , Elsevier, AmsterdamAcuña, A., Balcazar, V., Restrepo, S., Fernández, A., Infante Villarreal, A., Murgas, G., Mesa, D., (2008) Lineamientos De política Para Promover La producción Sostenible De Biocombustibles En Colombiael Biodiesel De Palma En Colombia. Technical Report, Federación Nacional De Cultivadores De Palma De Aceite, , Fedepalma, ColombiaMesa, J., La palmicultura colombiana de cara al 2020 (2000) Revista Palmas, 21 (especial), pp. 9-17González, A.C., Amaya, E.G.G., (2015) Minianuario estadístico 2015, , Technical report, Fedepalma, MayCarr, M., The water relations and irrigation requirements of oil palm (Elaeis guineensis): A review (2011) Exp. Agric., 47 (4), pp. 629-652Roldán, J.R.B., Herrera, C.J., (2012) Cuenta satélite Piloto De La Agroindustria De La Palma De Aceite: Palma En Desarrollo, En producción Y Su Primer Nivel De transformación, , Technical report, Departamento Administrativo Nacional de Estadística, OctoberMejía, J., Consumo de agua por la palma de aceite y efectos del riego sobre la producción de racimos: Una revisión de literatura (2000) Revista Palmas, 21 (1), pp. 51-58Henson, I.E., Modelling the impact of some oil palm crop management options (2006) MPOB Technol., 29, pp. 52-59Gonzalez, J., (2013) Panorama De La Agroindustria De La Palma De Aceite En Colombia Y En La Zona Norte Del país: Situación Actual, , Technical report, Fedepalma, JuneBuyya, R., Yeo, C.S., Venugopal, S., Broberg, J., Brandic, I., Cloud computing and emerging it platforms: Vision, hype, and reality for delivering computing as the 5th utility (2009) Future Gener. Comput. 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Eng., 139 (12), pp. 965-971IMKO Micromodultechnik Gmbh: TRIME-PICO 64/32, Rev. 1, February 2010Delta-T Devices Ltd.: ML3 Thetaprobe User Manual. Rev. 2., September 2016Yahya, Z., Husin, A., Talib, J., Othman, J., Ahmed, O.H., Jalloh, M.B., Oil palm (Elaeis guineensis) roots response to mechanization in Bernam series soil (2010) Am. J. Appl. Sci., 7 (3), pp. 343-348Verheye, W., Growth and production of oil palm (2010) Land Use, Land Cover and Soil Sciences. Encyclopedia of Life Support Systems (EOLSS). UNESCO-EOLSS, , Publishers, OxfordRoth, C., Malicki, M., Plagge, R., Empirical evaluation of the relationship between soil dielectric constant and volumetric water content as the basis for calibrating soil moisture measurements by TDR (1992) J. Soil Sci., 43 (1), pp. 1-13Baucke, F.G., Naumann, R., Alexander-Weber, C., Multiple-point calibration with linear regression as a proposed standardization procedure for high-precision pH measurements (1993) Anal. Chem., 65 (22), pp. 3244-3251ATMEL Corporation: Atmel 8-Bit AVR Microcontroller with 2/4/8K Bytes In-System Programmable Flash. Rev. 2586QAVR, August 2013http://purl.org/coar/resource_type/c_c94fTHUMBNAILMiniProdInv.pngMiniProdInv.pngimage/png23941https://repositorio.utb.edu.co/bitstream/20.500.12585/8948/1/MiniProdInv.png0cb0f101a8d16897fb46fc914d3d7043MD5120.500.12585/8948oai:repositorio.utb.edu.co:20.500.12585/89482023-04-21 15:27:12.108Repositorio Institucional UTBrepositorioutb@utb.edu.co |