Indian Journal of Science and Technology

Open Access Open Access  Restricted Access Subscription Access

Irrigation System Designed with SCADA and Wireless Sensor Network Applied to the Colombian Environment


Affiliations
1 Universidad Distrital Francisco Jose de Caldas, Bogota D.C., Colombia
 

Objectives: This document describes an automatic irrigation system design, using SCADA software and wireless sensor network. Methods/Analysis: The system was made using the drip irrigation system method, and the communication the field and the supervisor system was established using ZigBee devices connected in mesh topology. The SCADA system monitors four variables of the field: temperature, soil moisture content, water and nutrient level and status of the ZigBee device. Findings: The purpose of this paper is not only to contribute knowledge to the development of the Colombian field, through the application of new technologies of irrigation automation of crops, but to motivate research, development and innovation around this topic. Improvements: It is contemplated the use of a web portal where you can monitor the system, thus adding a notification mode. In addition, the use of redundancy to avoid loss of data in the crop, both on the side of data acquisition, and on the side of storage.
User

  • Lozano-EspitiaI, Ramírez-Villegas LM. How Productive is Rural Infrastructure? Evidence on Some Agricultural Crops in Colombia, Borradores de Economia. 2016; 948:1−22.

  • TECHNOSERVE. Construccion de un modelo deagriculturacompetitivaen Colombia. Bogota D.C, Colombia; 2015. p. 1−123.

  • Chandra DG, Malaya DB. Role of e-Agriculture in Rural Development in Indian Context. International Conference on Emerging Trends in Networks and Computer Communications (ETNCC); 2011. p. 320–23.

  • Kobayashi K, Kobayashi F, Saito Y. Development of Agricultural Monitoring Application as Media for Social Interaction. SICE Annual Conference; 2011. p. 2065–68.

  • Urbano-Molano FA. Redes de Sensores Inalámbricos Aplicadas a Optimizaciónen Agriculturade Precisión para Cultivos de Cafe en Colombia, Chemical Engineering Science. 2012; 5(1):46−52.

  • He WQ, Cai MK, Wang YB, Wang XJ. Automatic water supply control system of graded constant pressure by variable frequency speed and its application to pipeline irrigation, Second WRI Global Congress on Intelligent Systems. 2010; 1:385–88. https://doi.org/10.1109/GCIS.2010.81.

  • Agrawal N, Singhal S. Smart drip irrigation system using raspberry pi and Arduino. In: International Conference on Computing, Communication and Automation, ICCCA; 2015. p. 928−32.

  • Kim Y, Evans RG. Software design for wireless sensor-based site-specific irrigation, Computers and Electronics in Agriculture. 2010; 66(2):159−65. https://doi.org/10.1016/j.compag.2009.01.007.

  • Díaz SE, Perez JC, Mateos AC, Marinescu MC, Guerra BB. A novel methodology for the monitoring of the agricultural production process based on wireless sensor networks, Computers and Electronics in Agriculture. 2011; 79(2):252−65. https://doi.org/10.1016/j.compag. 2011.02.004.

  • Joint Research Centre (JRC) of the European Commission. Precision Agriculture: An Opportunity for Eu Farmers- Potential Support with the Cap 2014-2020. Directorate-General for Internal Policies Policy Department B: Structural and Cohesion Policies; 2014. p. 1−56.

  • Gurban EH, Andreescu GD. SCADA element solutions using Ethernet and mobile phone network. IEEE 9th International Symposium on Intelligent Systems and Informatics; 2011. p. 303–08.

  • Lopez-Riquelme JA, Soto F, Suardíaz J, Sánchez P, Iborra A, Vera JA. Wireless Sensor Networks for precision horticulture in Southern Spain, Computers and Electronics in Agriculture. 2009; 68(1):25−35. https://doi.org/10.1016/j.compag.2009.04.006.

  • Navarro-Hellín H, Martínez-del-Rincon J, DomingoMiguel R, Soto-Valles F, Torres-Sánchez. A decision support system for managing irrigation in agricultural, Computers and Electronics in Agriculture. 2016;124:121−31. https://doi.org/10.1016/j.compag.2016.04.003.

  • Capraro F, Pati-o D, Tosetti S, Schugurensky C. Neural network-based irrigation control for precision agriculture. IEEE International Conference on Networking, Sensing and Control; 2008. p. 357–62.

  • What are the disadvantages of Arduino? – Quora. Date accessed: 08/10/2014. https://www.quora.com/What-are-the-disadvantages-of-Arduino.

  • Raspberry Pi: What are its limitations? Date accessed: 25/04/2013. https://www.itproportal.com/2013/04/25/raspberry-pi-what-are-its-limitations/.

  • Sohraby K, Minoli D, Znati T. Wireless Sensor Networks: Technology, Protocols, and Applications. John Wiley & Sons, Inc.; 2006. p. 1−326.

  • Patel N, Kathiriya H, Bavarva A. Wireless sensor network using ZigBee, International Journal of Research in Engineering and Technology. 2013; 2(6):1038−42. https://doi.org/10.15623/ijret.2013.0206021.

  • Introduccion a Wi-Fi (802.11 o Wi-Fi). Date accessed: 16/10/2008. https://ccm.net/contents/802-introduction-towifi-802-11-or-wifi.

  • Krco S. Bluetooth Based Wireless Sensor Networks– Implementation Issues and Solutions. Invited Paper; 2002. p. 1−7.

  • Wang N, Zhang N, Wang M. Wireless sensors in agriculture and food industry - Recent development and future perspective, Computers and Electronics in Agriculture. 2006; 50(1):1−14. https://doi.org/10.1016/j.compag.2005.09.003.

  • Sutana SR, Krishan PB, Gouthami K, Kim TH. Wireless sensor network based remote environmental conditions monitoring system with GPRS, International Journal of Control and Automation. 2015; 8(10):73−80. https://doi.org/10.14257/ijca.2015.8.10.07.


Abstract Views: 211

PDF Views: 0




  • Irrigation System Designed with SCADA and Wireless Sensor Network Applied to the Colombian Environment

Abstract Views: 211  |  PDF Views: 0

Authors

M. Camilo Jimenez
Universidad Distrital Francisco Jose de Caldas, Bogota D.C., Colombia
Julian R. Camargo L
Universidad Distrital Francisco Jose de Caldas, Bogota D.C., Colombia
Cesar A. Perdomo Ch
Universidad Distrital Francisco Jose de Caldas, Bogota D.C., Colombia

Abstract


Objectives: This document describes an automatic irrigation system design, using SCADA software and wireless sensor network. Methods/Analysis: The system was made using the drip irrigation system method, and the communication the field and the supervisor system was established using ZigBee devices connected in mesh topology. The SCADA system monitors four variables of the field: temperature, soil moisture content, water and nutrient level and status of the ZigBee device. Findings: The purpose of this paper is not only to contribute knowledge to the development of the Colombian field, through the application of new technologies of irrigation automation of crops, but to motivate research, development and innovation around this topic. Improvements: It is contemplated the use of a web portal where you can monitor the system, thus adding a notification mode. In addition, the use of redundancy to avoid loss of data in the crop, both on the side of data acquisition, and on the side of storage.

References





DOI: https://doi.org/10.17485/ijst%2F2018%2Fv11i34%2F131454