IRO Journal on Sustainable Wireless Systems
IRO Journals
Volume 5 — Issue 2 — June 2023

An IoT Based Interface for the Smart Watering of Plants using Soil Moisture Sensor

https://doi.org/10.36548/jsws.2023.2.008
K Hemalatha
Department of Computer Applications, Madanapalle Institute of Techonology and Science, Madanapalle, Andhra Pradesh
L G Likitha
Department of Computer Applications, Madanapalle Institute of Techonology and Science, Madanapalle, Andhra Pradesh
N Sireesha
Department of Computer Applications, Madanapalle Institute of Techonology and Science, Madanapalle, Andhra Pradesh
A Usharani
Department of Computer Applications, Madanapalle Institute of Techonology and Science, Madanapalle, Andhra Pradesh
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How to Cite

Hemalatha, K, L G Likitha, N Sireesha, and A Usharani. 2023. “An IoT Based Interface for the Smart Watering of Plants Using Soil Moisture Sensor”. IRO Journal on Sustainable Wireless Systems 5 (2): 175-82. https://doi.org/10.36548/jsws.2023.2.008.
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Keywords

— Soil moisture sensor
— Arduino
— IOT
— Watering plants
— Humidity
Published: 10-07-2023

Abstract

Water plays a significant role in the growth of plants. Under watering and Over watering of plants may slow down the transpiration and photosynthesis processes. Hence proper watering is essential for the better growth of the plant. Internet of Things (IoT) provides the solution to the proper watering of plants. Hence, this study has developed an interface using soil moisture sensor and Ardunio for the monitoring of soil moisture of the plants, which help to water the plants properly. Based on the moisture data captured from the soil moisture sensor watering suggestions can be provided for the better growth of the plants. This interface helps to water the plant when it needs water and also it will be helpful for the optimum water utilization.

References

  1. Taiz, L., Zeiger, E., Moller, I. M., & Murphy, A. , Plant Physiology and Development. Sinauer Associates., 2018.
  2. Smith, A. M., & Zeeman, S. C. Starch degradation. Annual Review of Plant Biology, 68, 211-237, 2017.
  3. Marschner, H. Marschner's Mineral Nutrition of Higher Plants (3rd ed.). Academic Press, 2012.
  4. H. Saini, A. Thakur, S. Ahuja, N. Sabharwal, and N.Kumar, “Arduino based automatic wireless weather station with remote graphical application and alerts”, in 2016 3rd International Conference on Signal Processing and Integrated Networks (SPIN), Feb 2016, pp. 605–609.
  5. Kalaimani, S. A., & Maruthavanan, M. IoT based irrigation system using Arduino and Raspberry Pi. In 2018 International Conference on Emerging Trends and Innovations in Engineering and Technological Research (ICETIETR) (pp. 1-6). IEEE, 2018
  6. J. Liang, X. Liu, and K. Liao. Soil Moisture Retrieval using UWB Echoes via Fuzzy Logic andMachine Learning, IEEE Internet Things J., 1, 99, 2017
  7. R. Elsheikh, A. R. B. Mohamed Shariff, F. Amiri, N. B. Ahmad, S. K. Balasundram, and M. A.M. Soom, Agriculture Land Suitability Evaluator (ALSE): A decision and planning support toolfor tropical and subtropical crops, Comput. Electron. Agric. 2013, 93, (98–110), 2013.
  8. Wei, H., Huang, Y., & Gao, H. Design of a Soil Moisture Monitoring System based on the Capacitive Sensor. Journal of Electrical Engineering and Automation, 3(1), 37-40, 2016.
  9. Mishra, A., Yadav, P., Singh, N., & Kumar, A. IoT based smart irrigation system using soil moisture sensor and ZigBee technology. 2019 International Conference on Sustainable Energy Technologies and Systems (SETS), 1-6,2019.
  10. Srbinovska, M., & Gavrilovska, L.Soil moisture measurement using Arduino and soil moisture sensor. 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 1199-1203, 2017.
  11. Schaefer, L. V., & Lopes, M. J. Design and development of a soil moisture sensor based on the capacity measurement. Sensors & Transducers, 232(1), 31-39, 2019.
  12. Patel, D., & Patel, N, Automatic Plant Watering System using Arduino. 2020 7th International Conference on Computing for Sustainable Global Development (INDIACom), 276-280, 2020.
  13. Dr. S. Velmurugan, V. Balaji, T. Manoj Bharathi, K. Saravanan, 2020, An IOT based Smart Irrigation System using Soil Moisture and Weather Prediction, International Journal Of Engineering Research & Technology (Ijert) Eclectic – 2020 (Volume 8 – Issue 07)
  14. K.S.S. Prasad, Nitesh Kumar, Nitish Kumar Sinha and Palash Kumar Saha. Water-SavingIrrigation System Based on Automatic Control by Using GSM Technology. Middle-East Journalof Scientific Research ,2012, 12, (1824-1827)
  15. Jirapond, M.; Nathaphon, B.; Siriwan, K.; Narongsak, L.; Apirat, W.; Pichetwut, N. IoT and agriculture data analysis for smart farm. Comput. Electron. Agric. 2019, 156, 467–474, 2019.