International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

IoT Based Smart Agriculture / Gardening

Abstract

Traditional agriculture rely heavily on manual monitoring and irrigation, leading to water waste, uneven crop growth, and increased labor costs. This paper proposes an Internet of Things (IoT)-based smart agriculture system for optimized irrigation. The system uses an ESP32 microcontroller to collect soil moisture data from sensors. User-defined thresholds trigger automated watering using a relay-controlled mechanism. The system offers on-site monitoring through an OLED display and remote monitoring capabilities via the Blynk platform. This paper details the system design, implementation, and testing, demonstrating its power for efficient water use and improved crop yield in agricultural and gardening applications.

Country : India

1 Tanmay Vilas Pawar2 Shivani Rajendra Bhongale3 Ajay Ashok Thorat4 Prof. C. V. Patil

  1. Student, Electronics and Telecommunications Engineering, Zeal College of Engineering and Research, Narhe, Pune, Maharashtra, India
  2. Student, Electronics and Telecommunications Engineering, Zeal College of Engineering and Research, Narhe, Pune, Maharashtra, India
  3. Student, Electronics and Telecommunications Engineering, Zeal College of Engineering and Research, Narhe, Pune, Maharashtra, India
  4. Professor, Electronics and Telecommunications Engineering, Zeal College of Engineering and Research, Narhe, Pune, Maharashtra, India

IRJIET, Volume 8, Issue 3, March 2024 pp. 332-339

doi.org/10.47001/IRJIET/2024.803051

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References

  1. Bandyopadhyay, S., & Mandal, S. (2018). Real-time monitoring of soil moisture using low-power IoT network for precision agriculture. Wireless Networks, 24(8), 2747-2760. [This paper focuses on a low-power IoT network for real-time soil moisture monitoring].
  2. Jayaraman, P. P., Tharmaraju, T., & Kathiresan, A. (2020). IoT-based smart agriculture with machine learning. Agricultural Engineering, 121, 107-114. [This reference explores the integration of machine learning with an IoT-based smart agriculture system].
  3. Montoya, L., Delgado, J. A., & Lopez, J. M. (2017). A review of Internet of Things (IoT) and data analytics applied to agriculture. Frontiers in Sustainable Food Systems, 1, 4. [This reference explores the integration of data analytics with IoT in agriculture].
  4. Potdar, V. B., Prasad, S., & Shankar, S. K. (2016). A wireless sensor network for smart precision agriculture. Computers and Electronics in Agriculture, 121, 170-180. [This reference explores the use of wireless sensor networks in smart precision agriculture].
  5. Li, Z., Chen, J., Luo, C., & Wang, X. (2015). Recent advances in smart agriculture: A review. Computers and Electronics in Agriculture, 117, 1-10. [This paper provides a broad review of recent advancements in smart agriculture].
  6. Panwar, S., & Kumar, M. (2020). Smart Agriculture: IoT Based Precision Farming. Journal of Sensors, 20(24), 7438. [This paper focuses on IoT-based precision farming].

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