Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Gasparatos, A., Stromberg, P., Takeuchi, K.: Biofuels, ecosystem services and human wellbeing: Putting biofuels in the ecosystem services narrative. Agric. Ecosyst. Environ. 142(3), 111–128 (2011)
Escobar, J.C., Lora, E.S., Venturini, O.J., Yáñez, E.E., Castillo, E.F., Almazan, O.: Biofuels: environment, technology and food security. Renew. Sustain. Energy Rev. 13(6), 1275–1287 (2009)
Chin, H.C., Choong, W.W., Alwi, S.R.W., Mohammed, A.H.: Issues of social acceptance on biofuel development. J. Clean. Prod. 71, 30–39 (2014)
Knothe, G., Krahl, J., Van Gerpen, J.: The Biodiesel Handbook. Elsevier, Amsterdam (2015)
Acuña, A., Balcazar, V., Restrepo, S., Fernández, A., Infante Villarreal, A., Murgas, G., Mesa, D., et al.: 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, Colombia (2008)
Mesa, J.: La palmicultura colombiana de cara al 2020. Revista Palmas 21(especial), 9–17 (2000)
González, A.C., Amaya, E.G.G.: Minianuario estadístico 2015. Technical report, Fedepalma, May 2015
Carr, M.: The water relations and irrigation requirements of oil palm (elaeis guineensis): a review. Exp. Agric. 47(04), 629–652 (2011)
Roldán, J.R.B., Herrera, C.J.: 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, October 2012
Mejía, J.: Consumo de agua por la palma de aceite y efectos del riego sobre la producción de racimos: una revisión de literatura. Revista Palmas 21(1), 51–58 (2000)
Henson, I.E.: Modelling the impact of some oil palm crop management options. MPOB Technol. 29, 52–59 (2006)
Gonzalez, J.: Panorama de la agroindustria de la palma de aceite en colombia y en la zona norte del país: Situación actual. Technical report, Fedepalma, June 2013
Buyya, 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. Future Gener. Comput. Syst. 25(6), 599–616 (2009)
Sales, N., Remédios, O., Arsenio, A.: Wireless sensor and actuator system for smart irrigation on the cloud. In: 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT), pp. 693–698. IEEE (2015)
Vani, P.D., Rao, K.R.: Measurement and monitoring of soil moisture using cloud IoT and android system. Indian J. Sci. Technol. 9(31) (2016)
Lozoya, C., Mendoza, C., Mejía, L., Quintana, J., Mendoza, G., Bustillos, M., Arras, O., Solís, L.: Model predictive control for closed-loop irrigation. IFAC Proc. Vol. 47(3), 4429–4434 (2014)
Saleem, S.K., Delgoda, D., Ooi, S.K., Dassanayake, K.B., Liu, L., Halgamuge, M., Malano, H.: Model predictive control for real-time irrigation scheduling. IFAC Proc. Vol. 46(18), 299–304 (2013)
Arnold, J.G., Allen, P.M., Bernhardt, G.: A comprehensive surface-groundwater flow model. J. Hydrol. 142(1–4), 47–69 (1993)
Steduto, P., Hsiao, T.C., Raes, D., Fereres, E.: Aquacropthe FAO crop model to simulate yield response to water: I. concepts and underlying principles. Agron. J. 101(3), 426–437 (2009)
McMullen, B.: SOILpak for Vegetable Growers, 1st edn. NSW Agriculture, Orange (2000)
Allen, R.G., Pereira, L.S., Raes, D., Smith, M., et al.: Crop evapotranspiration guidelines for computing crop water requirements-FAO irrigation and drainage paper 56. FAO, Rome 300(9) D05109 (1998)
Arshad, A.M., et al.: Crop evapotranspiration and crop water requirement for oil palm in peninsular Malaysia. J. Biol. Agric. Healthc. 4(16), 23–28 (2014)
Decagon Devices Inc.: 10HS soil moisture sensor, Rev. 1, July 2016
Spelman, D., Kinzli, K.D., Kunberger, T.: Calibration of the 10hs soil moisture sensor for southwest Orida agricultural soils. J. Irrig. Drain. Eng. 139(12), 965–971 (2013)
IMKO Micromodultechnik GmbH: TRIME-PICO 64/32, Rev. 1, February 2010
Delta-T Devices Ltd.: ML3 ThetaProbe User Manual. Rev. 2., September 2016
Yahya, Z., Husin, A., Talib, J., Othman, J., Ahmed, O.H., Jalloh, M.B., et al.: Oil palm (elaeis guineensis) roots response to mechanization in Bernam series soil. Am. J. Appl. Sci. 7(3), 343–348 (2010)
Verheye, W.: Growth and production of oil palm. In: Land Use, Land Cover and Soil Sciences. Encyclopedia of Life Support Systems (EOLSS). UNESCO-EOLSS Publishers, Oxford (2010)
Roth, 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. J. Soil Sci. 43(1), 1–13 (1992)
Baucke, F.G., Naumann, R., Alexander-Weber, C.: Multiple-point calibration with linear regression as a proposed standardization procedure for high-precision pH measurements. Anal. Chem. 65(22), 3244–3251 (1993)
ATMEL Corporation: Atmel 8-bit AVR Microcontroller with 2/4/8K Bytes In- System Programmable Flash. Rev. 2586QAVR, August 2013
Acknowledgment
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 José de Caldas (Project ID: FP44842- 502-2015).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Delgado, I.B., Colorado, L.A.M., Argüello Prada, E.J., Martínez-Santos, J.C. (2017). Irrigation System for Oil Palm in Colombia - An Internet of Things Approach. In: Figueroa-García, J., López-Santana, E., Villa-Ramírez, J., Ferro-Escobar, R. (eds) Applied Computer Sciences in Engineering. WEA 2017. Communications in Computer and Information Science, vol 742. Springer, Cham. https://doi.org/10.1007/978-3-319-66963-2_27
Download citation
DOI: https://doi.org/10.1007/978-3-319-66963-2_27
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-66962-5
Online ISBN: 978-3-319-66963-2
eBook Packages: Computer ScienceComputer Science (R0)