Communication Systems of Smart Agriculture Based on Wireless Sensor Networks in IoT

Ardian Prima Atmaja, Aulia El Hakim, Ari Purnomo Aji Wibowo, Lasardi Abdi Pratama


As technology develops, major countries have begun to implement the Smart Agriculture system and Internet of Things to facilitate farmers in managing their agricultural land. This study discusses the communication system of Smart Agriculture based on Internet of Things. Data from the sensor will be sent by Wireless Sensor Network to Raspberry Pi and send it to the database server which can then be accessed via the internet using android applications. Android applications can be used to monitor soil pH sensors and moisture. In addition, the control of sluice gates and water pumps can also be done manually and automatically. So that water can be controlled through applications and the web remotely. The success percentage of the communication system of Smart Agriculture based on the Internet of Things is 100% because all data from the sensor are successfully received by the Raspberry Pi and sent to the database so it can be accessed through the built-in android application and website.


Smart Agriculture; IoT; Wireless Sensor Network; Raspberry Pi

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. Cox, S. (2002). Information technology: the global key to precision agriculture and sustainability. Computers and electronics in agriculture, 36(2-3), 93-111.

. Anuradha, K., Krishna, Lokesh, Silver, Omayo, F.M., Wassawa (2017). “Internet Of Things for Implementation of Smart Agriculture System”. International Conference on I-SMAC : 54-59.

. Ezhilazhahi, A.M, Bhuvaneswari, P.T.V. 2017. IoT enabled plant soil moisture monitoring using wireless sensor networks. 2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS) : 345 – 349. IEEE Conference Publications.

. Lea, P. (2018). Internet of Things for Architects: Architecting IoT solutions by implementing sensors, communication infrastructure, edge computing, analytics, and security. Packt Publishing Ltd.

. Raj, P., & Raman, A. C. (2017). The Internet of Things: Enabling technologies, platforms, and use cases. CRC Press.

. Patil, K. A., & Kale, N. R. (2016, December). A model for smart agriculture using IoT. In 2016 International Conference on Global Trends in Signal Processing, Information Computing and Communication (ICGTSPICC) (pp. 543-545). IEEE.

. Ray, P. P. (2017). Internet of things for smart agriculture: Technologies, practices and future direction. Journal of Ambient Intelligence and Smart Environments, 9(4), 395-420.

. Mekala, M. S., & Viswanathan, P. (2017, August). A Survey: Smart agriculture IoT with cloud computing. In 2017 international conference on microelectronic devices, circuits and systems (ICMDCS) (pp. 1-7). IEEE.

. Zhao, J. C., Zhang, J. F., Feng, Y., & Guo, J. X. (2010, July). The study and application of the IOT technology in agriculture. In 2010 3rd International Conference on Computer Science and Information Technology (Vol. 2, pp. 462-465). IEEE.

. Gondchawar, N., & Kawitkar, R. S. (2016). IoT based smart agriculture. International Journal of advanced research in Computer and Communication Engineering, 5(6), 838-842.

. Suma, N., Samson, S. R., Saranya, S., Shanmugapriya, G., & Subhashri, R. (2017). IOT based smart agriculture monitoring system. International Journal on Recent and Innovation Trends in computing and communication, 5(2), 177-181.

. Prathibha, S. R., Hongal, A., & Jyothi, M. P. (2017, March). IoT based monitoring system in smart agriculture. In 2017 international conference on recent advances in electronics and communication technology (ICRAECT) (pp. 81-84). IEEE.

. Roopaei, M., Rad, P., & Choo, K. K. R. (2017). Cloud of things in smart agriculture: Intelligent irrigation monitoring by thermal imaging. IEEE Cloud computing, 4(1), 10-15.

. Nur Aziz, Hanif. 2017. “Monitoring and Controling of Rice Fields Irrigation Doors Using an Android Application with Arduino-based Bluetooth and RF Communication”. Politeknik Negeri Madiun : Madiun.

. Ke, Fan Tong. 2013. “Smart Agriculture Based On Cloud Computing and IOT”. Vol 8, page 2-7. Xi’An University : Shaanxi.

. Chane, Hemlata, 2015. “Multidisciplinary Model Of Smart Agriculture Using Internet Of Things, Sensors, Cloud Computing, Mobile-Computing, and Big Data Analysis”. Vol 6, page 2-9. Int.JCOmputer, Technology and Applications : India.

. El Hakim, Aulia. 2016. “Real Time Weather Information Systems with Ad Hoc Networks (Manets) Multi-Hop Method – Multi Point To Point Based on Web Server”. Politeknik Negeri Madiun : Madiun.

. El Hakim, Aulia. 2016. “Design of Electronic Device Controls Using Bluetooth Communication Based on Arduino with Android Interface”. Politeknik Negeri Madiun : Madiun.

. Gutiérrez, Joaquín, F.V., Juan, N.G., Alejandra, A.P., Miguel. 2013. “Automated Irrigation System Using a Wireless Sensor Network and GPRS Module”. IEEE Transaction on instrument and measurment.,vol. 63: 166-176.

. L.M., Andre, Gentil, Flavio. 2017. “A Neuro-Fuzzy Control Scheme For The Electrical Submersible Pumping In Oilfield Systems”. IEEE Latin America Transactions., vol 15 : 2077-2083.

. Giri, Arindam, Dutta, Subrata, Neogy, Sarmistha. 2016. Enabling agricultural automation to optimize utilization of water, fertilizer and insecticides by implementing Internet of Things (IoT). International Conference on Information Technology (InCITe) : 125 – 131

. Raghavendra, C. S., Sivalingam, K. M., & Znati, T. (Eds.). (2006). Wireless sensor networks. Springer.

. Zhu, Q., Wang, R., Chen, Q., Liu, Y., & Qin, W. (2010, December). Iot gateway: Bridgingwireless sensor networks into internet of things. In 2010 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing (pp. 347-352). Ieee.

. Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future generation computer systems, 29(7), 1645-1660.

. Schwartz, M. (2016). Internet of Things with ESP8266. Packt Publishing Ltd.

. Thaker, T. (2016, March). ESP8266 based implementation of wireless sensor network with Linux based web-server. In 2016 Symposium on Colossal Data Analysis and Networking (CDAN) (pp. 1-5). IEEE.

. Kodali, R. K., & Mahesh, K. S. (2016, December). Low cost ambient monitoring using ESP8266. In 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I) (pp. 779-782). IEEE.

. Richardson, M., & Wallace, S. (2012). Getting started with Raspberry Pi. O'Reilly Media, Inc.

. Bell, C. (2014). Beginning sensor networks with Arduino and Raspberry Pi. Apress.

. MySQL, A. B. (2006). MySQL administrator's guide and language reference. Sams Publishing.

. Atmaja, A. P., & Susanto, F. (2019). Optimasi Aplikasi SIMAK-BMN untuk Inventarisasi Barang Milik Negara Berbasis Aplikasi Mobile Android. Jurnal Teknologi Informasi dan Ilmu Komputer, 6(2), 201-210.

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