Waseem HAMDOON, Ahmet ZENGİN

36515

A NEW IOT-BASED SMART IRRIGATION MANAGEMENT SYSTEM

A NEW IOT-BASED SMART IRRIGATION MANAGEMENT SYSTEM

Most fresh water is used in agriculture. There has been a constant interest in presenting systems and solutions that rationalize water resources in agriculture without reducing productivity. In contrast the solutions must improve production while utilizing less water. On the other hand, The Internet of Things is a prominent recent technology that provides various solutions in many disciplines, including agriculture and irrigation. This paper proposes an Internet-of-Things-based architecture for smart irrigation by developing a prototype with a controller unit, water pumps, and sensors. These systems monitor the soil's irrigation needs and determine the right amount based on sensor data. As these values are delivered through cloud computing to a user's mobile app, irrigation may be monitored and controlled from multiple angles. This comprises manual irrigation mode, automatic irrigation mode, and determine the right amount of irrigation based on sensor relationships.
Keywords:

Internet of Things, Smart Agriculture, Cloud Computing, Smart Irrigation Actuators, Sensors,

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  • [1]      "AQUASTAT - FAO's Global Information System on Water and Agriculture," [Online]. Available: https://www.fao.org/aquastat/en/overview/methodology/water-use. [Access Date: 17.01.2022].
  • [2]      L. García, "IoT-based smart irrigation systems: An overview on the recent trends on sensors and IoT systems for irrigation in precision agriculture," Sensors, vol. 20, p. 1042, 2020.
  • [3]      J. F. Velasco-Muñoz, "Sustainable irrigation in agriculture: An analysis of global research," Water, vol. 11, p. 1758, 2019.
  • [4]      M. Al-HUBAISHI, "SDN INTEGRATION FOR INTERNET OF THINGS," November 2019. [Online]. Available: https://tez.yok.gov.tr/UlusalTezMerkezi/. [Access Date: 23.01.2022].
  • [5]      S. Kechiche, "IoT Connections Forecast: The Rise of Enterprise," 16 December 2019. [Online]. Available: https://data.gsmaintelligence.com/research/research/research-2019/iot-connections-forecast-the-rise-of-enterprise. [Access Date: 23.01.2022].
  • [6]      C. Kamienski, "Smart water management platform: IoT-based precision irrigation for agriculture," Sensors, vol. 19, p. 276, 2019.
  • [7]      N. K. Nawandar and V. R. Satpute, "IoT based low cost and intelligent module for smart irrigation system," Computers and electronics in agriculture, vol. 162, p. 979–990, 2019.
  • [8]      M. Roopaei, P. Rad and K.-K. R. Choo, "Cloud of things in smart agriculture: Intelligent irrigation monitoring by thermal imaging," IEEE Cloud computing, vol. 4, p. 10–15, 2017.
  • [9]      J. Kwok and Y. Sun, "A smart IoT-based irrigation system with automated plant recognition using deep learning," in Proceedings of the 10th international conference on computer modeling and simulation, 2018.
  • [10]  A. Goap, "An IoT based smart irrigation management system using Machine learning and open source technologies," Computers and electronics in agriculture, vol. 155, p. 41–49, 2018.
  • [11]  O. Friha, "Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies," IEEE CAA J. Autom. Sinica, vol. 8, p. 718–752, 2021.
  • [12]  "About us," Raspberry Pi Foundation," [Online]. Available: https://www.raspberrypi.org/about/. [Access Date: 18.01.2022].
  • [13]  L. Upton, "The Raspberry Pi in scientific research," [Online]. Available: https://www.raspberrypi.com/news/the-raspberry-pi-in-scientific-research/. [Access Date: 30.01.2022].
  • [14]  P. Placidi, "Characterization of low-cost capacitive soil moisture sensors for IoT networks," Sensors, vol. 20, p. 3585, 2020.
  • [15]  F. S. Muzdrikah, M. S. Nuha and F. A. Rizqi, "Calibration of capacitive soil moisture sensor (sku: Sen0193," in 2018 4th International Conference on Science and Technology (ICST, 2018.
  • [16]  "Programmable Resolution 1-Wire Digital Thermometer (DS18B20) - Datasheet," [Online]. Available: https://datasheets.maximintegrated.com/en/ds/DS18B20.pdf. [Access Date: 30.01.2022].
  • [17]  R. A. Koestoer, "A simple method for calibration of temperature sensor DS18B20 waterproof in oil bath based on Arduino data acquisition system," AIP Conference Proceedings, vol. 2062, 2019.
  • [18]  A. I. Badran and M. Y. Kashmoola, "Smart Agriculture Using Internet of Things: A Survey," in IMDC-SDSP 2020: Proceedings of the 1st International Multi-Disciplinary Conference Theme: Sustainable Development and Smart Planning, IMDC-SDSP 2020, Cyperspace.
  • [19]  "DHT 11 Humidity & Temperature - Datasheet," [Online]. Available: https://www.mouser.com/datasheet/2/758/DHT11-Technical-Data-Sheet-Translated-Version-1143054.pdf. [Access Date: 30.01.2022].
  • [20]  A. Rayes and S. Salam, Internet of things from hype to reality, Springer, 2017, p. 82–86.
  • [21]  "Raspberry Pi Documentation - Raspberry Pi OS," [Online]. Available: https://www.raspberrypi.com/documentation/computers/os.html#introduction. [Access Date: 01.02.2022].
  • [22]  G. Anand and A. K. Kumawat, "Object detection and position tracking in real time using Raspberry Pi," Materials Today: Proceedings, vol. 47, p. 3221–3226, 2021.
  • [23]  "General Python FAQ," [Online]. Available: https://docs.python.org/3/faq/general.html#what-is-python. [Access Date: 01.02.2022].
  • [24]  W. Donat and C. Krause, Learn Raspberry Pi Programming with Python, New York, NY 10013: Apress, 2014.
  • [25]  D. Molnar and S. E. Schechter, "Self Hosting vs. Cloud Hosting: Accounting for the Security Impact of Hosting in the Cloud," WEIS, 2010.
  • [26]  "What is cloud hosting?," [Online]. Available: https://www.ibm.com/cloud/learn/what-is-cloud-hosting. [Access Date: 01.02.2022].
  • [27]  "Firebase Realtime Database | Firebase Documentation," [Online]. Available: https://firebase.google.com/docs/database/. [Access Date: 01.02.2022].
  • [28]  L. Moroney, The firebase realtime database." The Definitive Guide to Firebase, Berkeley, CA: Apress, 2017, p. 51–71.
  • [29]  L. Moroney, Using authentication in firebase." The Definitive Guide to Firebase, Berkeley, CA: Apress, 2017, p. 25–50.
  • [30]  "Firebase Authentication | Firebase Documentation," [Online]. Available: https://firebase.google.com/docs/auth. [Access Date: 01.02.2022].
  • [31]  W. Wu, React Native vs Flutter, Cross-platforms mobile application frameworks, 2018.
  • [32]  G. I. Arb and K. Al-Majdi, "A Freights Status Management System Based on Dart and Flutter Programming Language," Journal of Physics: Conference Series, vol. 1530, 2020.
  • [33]  "Modules — Python 3.7.12 documentation," [Online]. Available: https://docs.python.org/3.7/tutorial/modules.html. [Access Date: 07.02.2022].
Middle East Journal of Science-Cover
  • ISSN: 2618-6136
  • Yayın Aralığı: Yılda 2 Sayı
  • Başlangıç: 2015
  • Yayıncı: INESEG Yayıncılık
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