A wireless sensor network for drip irrigation control and automation

Keywords: Precision agriculture, ZigBee, volumetric moisture.


One of the main objectives of precision agriculture is the crops irrigation according to the particular needs of a cropland. This paper describes the design and implementation of a wireless sensor network, which is able to get soil moisture measurements from different zones of a strawberries crop. A control system determines the irrigation time and the particular zone that must be watered by the drip irrigation method, according to the data collected by the network. Water requirements for crops were estimated by field capacity and irrigation threshold; both parameters were calculated for the entire crop in the production stage. The communication between network nodes is based on the ZigBee protocol stack, and the final prototype is a closed–loop on/off control system with a hysteresis band. Finally, the results showed a more water use efficiency and improved strawberry quality when compared to the traditional irrigation system.


Download data is not yet available.


ABBASI, A. Z.; ISLAM, N.; SHAIKH, Z. A. 2014. A review of wireless sensors and networks' applications in agriculture. Computer Standards & Interfaces. 36(2):263-270 p.

BISWANATH, P. 2014. Industrial Electronics and Control. PHI Learning Pvt. Ltd. 227 - 324 p.

BADILLO, M. F.; VALDERA, F.; BODAS, V.; FUENTELSAZ, F.; PEITEADO, C.; WWF, E. 2009. Manual de buenas prácticas de riego, Propuestas de WWF para un uso eficiente del agua en la agricultura. En: http://awsassets.wwf.es/downloads/buenas_practicas_de_riego.pdf; consultado: agosto, 2016.

CARREÑO, M. R.; UNIGARRO. A. 2005. Metodología para el análisis físico de suelos. En: Métodos químicos para el análisis de suelos. Universidad de Nariño. 56 - 57 p.

COBOS, D.; CHAMBERS, C. 2010. Calibrating ECH2O soil moisture sensors. Application Note, En: Decagon Devices, http://manuals.decagon.com/Application%20Notes/13393_Calibrating%20ECH2O%20Probes_Print.pdf; consulta: agosto, 2016.

DARGIE, W.; POELLABAUER, C. 2010. Fundamentals of Wireless Sensor Networks. Theory and Practice. First edition. Wiley. Chennai, India. 48 - 61 p.

DEAQUIZ, Y.; ÁLVAREZ-HERRERA, J.; PINZÓN-GÓMEZ, L. 2014. Efecto de diferentes láminas de riego sobre la producción y calidad de fresa (Fragaria sp.). Revista Colombiana de Ciencias Hortícolas. 8(2):192 - 205.

DECAGON, D. 2009. 10HS Soil Moisture Sensor Operator's Manual, Version 2.0. Decagon Devices Inc. 21 p.

DIGI INTERNATIONAL. 2012. XBee/XBee PRO ZB RF Modules. En: https://www.digi.com/support/productdetail?pid=3430; consulta: agosto, 2016.

FALUDI, R. 2010. Building wireless sensor networks: with ZigBee, XBee, arduino, and processing. O'Reilly Media. 322 p.

GONZÁLEZ, R. F.; HERRERA, P. J.; HERNÁNDEZ, B. O.; LÓPEZ, S. T.; CID L. G. 2012. Base de datos sobre necesidades hídricas. Revista Ciencias Técnicas Agropecuarias. 21(2):42 - 47.

KLOHN, W.; APPELGREN, B. 1999. Agua y Desarrollo. Revista CIDOB d'Afers Internacionals. 45:105 - 126.

KUNCHAM, V. S.; RAO, N. V. 2014. Sensors for Managing Water Resources in Agriculture. IOSR Journal of Electronics and Communication Engineering (IOSR-JECE). 9(2):145 - 163.

LITTELFUSE. 2008. Thyristors Used as AC Static Switches and Relays. En: littelfuse application_notes. En: http://www.littelfuse.com/~/media/electronics_technical/application_notes/switching_thyristor/littelfuse_thyristors_used_as_ac_static_switches_and_relays_application_note.pdf; consulta: agosto, 2016.

MANDAL, K.; MAITY, A. 2013. Precision Farming for Small Agricultural Farm: Indian Scenario. American Journal of Experimental Agriculture. 3:200 - 217.

MATHWORKS. 2016. Data Fitting with Matlab. En: Data Fitting with MATLAB, http://www.mathworks.com/discovery/data-fitting.html; consulta: agosto, 2016.

MONTAVANI, E. C.; PINTO, F. A. C.; QUEIROZ, D. N. 2006. Introducción a la Agricultura de Precisión. 15 - 21 p. En: Agricultura de Precisión: Integrando Conocimientos para una Agricultura Moderna y Sustentable. Procisur/IICA. Montevideo.

MUÑOZ, R.; RITTER, A. 2005. Medida de la humedad del suelo. En: Hidrología agroforestal. Mundi-Prensa. 127 - 133 p.

OGATA, K. 2009. Ingeniería de Control Moderna. Quinta edición. Prentice Hall. 17 - 29 p.

RIAZAHAMED, S. 2009. The Role of ZigBee Technology in Future Data Communication System. Journal of Theoretical and Applied Information Technology. 5:113 - 118 p.

ROEL, A.; TERRA, J. 2006. Muestreo de Suelos y Factores Limitantes del Rendimiento. En: Agricultura de Precisión: Integrando Conocimientos para una Agricultura Moderna y Sustentable. Procisur/IICA. Montevideo. 67 - 80 p.

ROMERO, V.; ALBERTO, C.; JAIMES, B.; ERICKSON, J.; PABÓN, D. C. 2015. Configuration Parameters in Module XBEE-PRO® ZB S2B for Measuring Environmental Variables. Tecnura. 19(45):141 - 157.

SAC. SOCIEDAD DE AGRICULTORES DE COLOMBIA. 2010. Una locomotora que impulsa el desarrollo del país. Revista Nacional de Agricultura. 956:4 - 6 p.

SOHRABY, K., MINOLI, D.; ZNATI, T. 2007. Wireless sensor networks: technology, protocols, and applications. John Wiley & Sons. 326 p.

SOMANI, N. A.; PATEL, Y. 2012. ZigBee: A Low Power Wireless Technology for Industrial Applications. International Journal of Control Theory and Computer Modelling, 2:27 - 33 p.

SPELMAN, D.; KINZLI, K. D.; KUNBERGER, T. 2013. Calibration of the 10HS Soil Moisture Sensor for Southwest Florida Agricultural Soils. Journal of Irrigation and Drainage Engineering. 139(12):965 - 971.

VEGA, J. A.; RUIZ, M. P. 2013. Agricultura de precisión: hacia la integración de datos espaciales en la producción agraria. En: http://www.mapama.gob.es/ministerio/pags/Biblioteca/Revistas/pdf_AM/Ambienta_2013_105_16_27.pdf; consulta: junio, 2015.

YAHUI, W.; LEIPENG, Y.; PANGUO, F. 2013. Design of Oilfield Remote Monitoring System Based on ZigBee Technolgy. Computer Measurement & Control. 2:028 p.

ZHANG, N.; WANG, M.; WANG, N. 2002. Precision Agriculture - A Worldwide Overview. Computers and Electronics in Agriculture. 36:113 - 132 p.

How to Cite
Castro C., N., Chamorro F., L., & Viteri M., C. (2016). A wireless sensor network for drip irrigation control and automation. Revista De Ciencias Agrícolas, 33(2), 106-116. https://doi.org/10.22267/rcia.163302.57