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IoT based Electronic Irrigation and Soil Fertility Managing System

  • Mohammed Ateeq Alanezi (Computer Science and Engineering Department, College of Computer Science and Enginering, University of Hafr al Batin)
  • Received : 2023.04.05
  • Published : 2023.04.30

Abstract

In areas where water is scarce, water management is critical. This has an impact on agriculture, as a significant amount of water is used for that purpose. Electronic measurement equipment are essential for regulating and storing soil data. As a result, research has been conducted to manage water usage in the irrigation process. Many equipment for managing soil fertility systems are extremely expensive, making this type of system unaffordable for small farmers. These soil fertility control systems are simple to implement because to recent improvements in IoT technology. The goal of this project is to develop a new methodology for smart irrigation systems. The parameters required to maintain water amount and quality, soil properties, and weather conditions are determined by this IoT-based Smart irrigation System. The system also assists in sending warning signals to the consumer when an error occurs in determining the percentage of moisture in the soil specified for the crop, as well as an alert message when the fertility of the soil changes, since many workers, particularly in big projects, find it extremely difficult to check the soil on a daily basis and operate agricultural devices such as sprinkler and soil fertilizing devices.

Keywords

References

  1. W. Z. Taffese, E. Nigussie and J. Isoaho, "Internet of things based durability monitoring and assessment of reinforced concrete structures," Procedia Computer Science, vol. 155, no. 2019, pp. 672-679, 2019. https://doi.org/10.1016/j.procs.2019.08.096
  2. S. R. Moosavi, E. Nigussie, M. Levorato, S. Virtanen and J. Isoaho, "Performance analysis of end-to-end security schemes in healthcare IoT," Procedia computer science , vol. 130, no. 2018, pp. 432-439, 2018. https://doi.org/10.1016/j.procs.2018.04.064
  3. P. Fraga-Lamas, M. Celaya-Echarri, L. Azpilicueta, P. LopezIturri, F. Falcone and T. M. Fernandez-Carames, "Design and Empirical Validation of a LoRaWAN IoT Smart Irrigation System," Proceedings, pp. 1-6, 2019.
  4. R. Nageswara Rao and B. Sridhar, "IoT based smart crop-field monitoring and automation irrigation system," in 2018 2nd International Conference on Inventive Systems and Control (ICISC), Coimbatore, 2018.
  5. A. Khanna and S. Kaur, "Evolution of Internet of Things (IoT) and its significant impact in the field of Precision Agriculture," Computers and electronics in agriculture, vol. 157, no. 2019, pp. 218-231, 2019. https://doi.org/10.1016/j.compag.2018.12.039
  6. Mohapatra, A.G.; Keswani, B.; Lenka, S.K. Optimizing farm irrigation mechanism using feedforward neural network and structural similarity index. Int. J. Comput. Appl. 2017, 7, 135-141.
  7. Goldstein, A.; Fink, L.; Meitin, A.; Bohadana, S.; Lutenberg, O.; Ravid, G. Applying machine learning on the sensor data for irrigation recommendations: Revealing the agronomist's tacit knowledge. Precis. Agric. 2018, 18, 421-444. https://doi.org/10.1007/s11119-017-9527-4
  8. Jimenez, J.M.; Garcia, L.; Taha, M.; Parra, L.; Lloret, J.; Lorenz, P. Comprehensive Security Framework of an Intelligent Wastewater Purification System for Irrigation. In Proceedings of the Twelfth International Conference on Communication Theory, Reliability, and Quality of Service, Valencia, Spain, 24-28 March 2019
  9. Rajasekaran, T., Anandamurugan, S. (2019). Challenges and Applications of Wireless Sensor Networks in Smart Farming-A Survey. In: Peter, J., Alavi, A., Javadi, B. (eds) Advances in Big Data and Cloud Computing. Advances in Intelligent Systems and Computing, vol 750. Springer, Singapore. https://doi.org/10.1007/978-981-13-1882-5_30
  10. Sunmehra, D.; Kumar, B.H. WSN based Automatic Irrigation and Security System using Raspberry Pi Board. In Proceedings of the International Conference on Current Trends in Computer, Electrical, Electronics and Communication, Mysore, India, 8-9 September 2017.
  11. Barreto, L.; Amaral, A. Smart Farming: Cyber Security Challenges. In Proceedings of the International Conference on Intelligent Systems, Funchal, Madeira, 25-27 September 2018.
  12. Hassija, V.; Chamola, V.; Saxena, V.; Jain, D.; Goyal, P.; Sikdar, B. A survey on IoT security: Application areas, security threats, and solution architectures. IEEE Access 2019, 7, 82721-82743. https://doi.org/10.1109/ACCESS.2019.2924045
  13. A. G. Mohapatra and S. K. Lenka, "Neuro-fuzzy-based smart DSS for crop specific irrigation control and SMS notification generation for precision agriculture," International Journal of Convergence Computing, vol. 2, no. 1, pp. 3-22, 2016 https://doi.org/10.1504/IJCONVC.2016.080394
  14. S. R. Kumbhar and A. P. Ghatule, "Microcontroller based controlled irrigation system for plantation," in International MultiConference of Engineers and Computer Scientists, Hong Kong, 2013.
  15. Giusti, E., Marsili-Libelli, S.: A fuzzy decision support system for irrigation and water conservation in agriculture. Environ. Model. Softw. 63, 73-86 (2015) https://doi.org/10.1016/j.envsoft.2014.09.020
  16. Nikolidakis, S.A., Kandris, D., Vergados, D.D., Douligeris, C.: Energy efficient automated control of irrigation in agriculture by using wireless sensor networks. Comput. Electron. Agric. 113, 154-163 (2015) https://doi.org/10.1016/j.compag.2015.02.004
  17. O'Grady, M.J., O'Hare, G.M.P.: Modeling the smart farm. Inf. Process. Agric. 4, 179-187 (2017)
  18. C. W. D. B. Kai Petersen, "The Waterfall Model in Large-Scale Development," in International Conference on Product-Focused Software Process Improvement, 2009.
  19. H. K. Xumin Zhang, "Investigating Homeowners' Preferences for Smart Irrigation Technology Features," Water, vol. 11, no. 10, 25 September 2019.
  20. B. J.-S. S.R.BarkunanV, Smart sensor for automatic drip irrigation system for paddy cultivation, vol. 73, January 2019, pp. 180-193 https://doi.org/10.1016/j.compeleceng.2018.11.013
  21. Monica, M., Yeshika, B., Abhishek, G., Sanjay, H., & Dasiga, S. (2017). IoT based control and automation of smart irrigation system: An automated irrigation system using sensors, GSM, Bluetooth and cloud technology. In 2017 International Conference on recent innovations in signal processing and embedded systems (RISE) (pp. 601-607). Piscataway: IEEE.
  22. Khelifa, B., Amel, D., Amel, B., Mohamed, C., & Tarek, B. (2015). Smart irrigation using internet of things. In 2015 Fourth International Conference on future generation communication technology (FGCT) (pp. 1-6). Piscataway: IEEE.
  23. Kamienski, C., Soininen, J.-P., Taumberger, M., Fernandes, S., Toscano, A., Cinotti, T. S., Maia, R. F., & Neto, A. T. (2018). Swamp: An IoT-based smart water management platform for precision irrigation in agriculture. In 2018 Global Internet of Things Summit (GIoTS) (pp. 1-6). Piscataway: IEEE
  24. Haque, M. S. T., Rouf, K. A., Khan, Z. A., Emran, A., & Zishan, M. S. R. (2019). Design and implementation of an IoT based automated agricultural monitoring and control system, In 2019 International Conference on robotics, electrical and signal processing techniques (ICREST) (pp. 13-16). Piscataway: IEEE
  25. Chikankar, P. B., Mehetre, D., & Das, S. (2015). An automatic irrigation system using Zigbee in wireless sensor network. In 2015 International Conference on pervasive computing (ICPC), IEEE (pp. 1-5).