International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
권호 표지
DOI QR코드

DOI QR Code

IOT Intelligent Watering Sensor For Indoor Plant

  • Hana, Mujlid (University of Taif, College of Computers and Information Technology Kingdom of Saudi Arabia, Department of Computer Engineering) ;
  • Haneen Daifallah, Alghamdi (University of Taif, College of Computers and Information Technology Kingdom of Saudi Arabia, Department of Computer Engineering) ;
  • Hind Abdulaziz, Alkharashi (University of Taif, College of Computers and Information Technology Kingdom of Saudi Arabia, Department of Computer Engineering) ;
  • Marah Awadh, Alkhaldi (University of Taif, College of Computers and Information Technology Kingdom of Saudi Arabia, Department of Computer Engineering)
  • Received : 2022.12.05
  • Published : 2022.12.30
Download PDF
⟨ Previous Next ⟩

Abstract

The number of people who own indoor plants is growing today, but as a result of their busy lifestyles-such as work or travel-as well as a lack of enthusiasm in caring for their plants, their plants wither. The use of an irrigation control system with a surveillance camera can assist such folks in taking care of their plants. Such a device can assist in remotely watering plants at predetermined times and checking on the health of the plants. The proprietors would be able to live comfortably without feeling bad thanks to this change. Internet access is required for this technology in order to monitor the plants and control the watering through apps. A sensor is installed in the soil to monitor soil humidity and send data to the microcontroller for irrigation, allowing the owner to schedule irrigation as they see fit and keep an eye on their plants all day. With the use of a remote irrigation control system, the plants will grow properly and be irrigated with the proper amount of water, and the owners will be so glad and delighted to watch their plants. Knowing the time and quantity of water are vital parts of the plant growth.

Keywords

References

  1. Larsen, L., Adams, J., Deal, B., Kweon, B. S., & Tyler, E. (1998). Plants in the workplace: The effects of plant density on productivity, attitudes, and perceptions. Environment and behavior, 30(3), 261-281. https://doi.org/10.1177/001391659803000301
  2. Kwok, J., & Sun, Y. (2018, January). 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 (pp. 87-91).
  3. Millan, S., Campillo, C., Casadesus, J., Monino, M. J., Vivas, A., & Prieto, M. H. (2019). Automated irrigation scheduling for drip-irrigated plum trees. In Precision agriculture'19 (pp. 59-66). Wageningen Academic Publishers.
  4. Atzori, L., Iera, A., & Morabito, G. (2010). The internet of things: A survey. Computer networks, 54(15), 2787-2805. https://doi.org/10.1016/j.comnet.2010.05.010
  5. Goldstein, A., Fink, L., Meitin, A., Bohadana, S., Lutenberg, O., & Ravid, G. (2018). Applying machine learning on sensor data for irrigation recommendations: revealing the agronomist's tacit knowledge. Precision agriculture, 19(3), 421-444. https://doi.org/10.1007/s11119-017-9527-4
  6. Adeyemi, O., Grove, I., Peets, S., & Norton, T. (2017). Advanced monitoring and management systems for improving sustainability in precision irrigation. Sustainability, 9(3), 353.
  7. Bhardwaj, S., Dhir, S., & Hooda, M. (2018, August). Automatic plant watering system using IoT. In 2018 Second international conference on green computing and Internet of Things (ICGCIoT) (pp. 659-663). IEEE.
  8. Reghukumar, A., & Vijayakumar, V. (2019). Smart Plant Watering System with Cloud Analysis and Plant Health Prediction. Procedia Computer Science, 165, 126-135. https://doi.org/10.1016/j.procs.2020.01.088
  9. Kumar, A., Chanchal, A., Kumar, A., Kumar, D., & Mansoori, F. (2016). Arduino Uno based automatic plant watering system. International journal of scientific research and management studies, 2(12), 487-492.
  10. Imteaj, A., Rahman, T., Alam, M. S., & Alam, T. (2017). Automated Expedient Watering System For Small Plants And Acquaintance About Deficit In Water Supply. In Int. Conf. Eng. Res. Innov. Educ (pp. 830-835).
  11. Akwu, S., Bature, U. I., Jahun, K. I., Baba, M. A., & Nasir, A. Y. (2020). Automatic plant irrigation control system using Arduino and GSM module. International Journal of Engineering and Manufacturing, 10(3), 12.
  12. Sarode, M., Shaikh, A., Krishnadas, S., & Rao, Y. S. (2020). Automatic Plant Watering System. Asian Journal For Convergence In Technology (AJCT) ISSN-2350-1146, 6(3), 90-94. https://doi.org/10.33130/AJCT.2020v06i03.014
  13. Duzic, N., & Dumic, D. (2017). Automatic plant watering system via soil moisture sensing by means of suitable electronics and its applications for anthropological and medical purposes. Collegium antropologicum, 41(2), 169-172.
  14. Gupta, A., Kumawat, S., & Garg, S. (2016). Automatic plant watering system. Imperial Journal of Interdisciplinary Research, 2(4), 2454-1362.
  15. Astutiningtyas, M., Nugraheni, M., & Suyoto, S. (2021). Automatic plants watering system for small garden.
  16. Mayuree, M., Aishwarya, P., & Bagubali, A. (2019, March). Automatic plant watering system. In 2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN) (pp. 1-3). IEEE.
  17. Haryanto, E., Fitriastuti, F., Setiyorini, A., Haryanto, E. M. O. N., & Lukmanfiandy, S. (2022, June). Design and Build Remote Watering System Based on Internet of Things (IoT)(Case Study Of Yogyakarta Code Tourism Park). In IOP Conference Series: Earth and Environmental Science (Vol. 1030, No. 1, p. 012007). IOP Publishing.
  18. Prasojo, I., Maseleno, A., & Shahu, N. (2020). Design of automatic watering system based on Arduino. Journal of Robotics and Control (JRC), 1(2), 59-63.
  19. Kumar, B. D., Srivastava, P., Agrawal, R., & Tiwari, V. (2017). Microcontroller based automatic plant irrigation system. International Research Journal of Engineering and Technology, 4(5), 1436-1439.
  20. Nagaraja, H., Aswani, R., & Malik, M. (2012). Plant watering autonomous mobile robot. IAES International Journal of Robotics and Automation, 1(3), 152.
  21. Shah, K., Pawar, S., Prajapati, G., Upadhyay, S., & Hegde, G. (2019, March). Proposed automated plant watering system using IoT. In Proceedings 2019: conference on technologies for future cities (CTFC).
  22. Okoye, F., Orji, E., & Ozor, G. (2018). Using arduino based automatic irrigation system to determine irrigation time for different soil types in nigeria. international journal of advanced research in computer and communication engineering, 7, 42-47.
  23. Nagothu, S. K. (2016, February). Weather based smart watering system using soil sensor and GSM. In 2016 world conference on futuristic trends in research and innovation for social welfare (startup conclave) (pp. 1-3). IEEE.
  24. Mohammed, S. S., & Devaraj, D. (2013). Design, simulation and analysis of microcontroller-based DC-DC Boost converter using proteus design suite. In Proc. of Int. Conf. on Advances in Electrical & Electronics, AETAEE (pp. 599-606).
  25. R. P. a. B. Maxim," Software Engineering, McGraw-Hill, New York, 2015.
  26. "Convert a number range to another range, maintaining ratio," Stack overflow.
  27. Waworundeng, J., Suseno, N., & Manaha, R. (2017). Perancangan alat penyiram tanaman otomatis berbasis sensor dan mikrokontroler. In Seminar Nasional Multi Disiplin Ilmu (SNMDI-1), Jakarta, November (Vol. 25).