Enhancing Crop Growth Efficiency through IoT-enabled Smart Farming System

Authors

  • Neda Jadhav New Horizon College of Engineering
  • Rajnivas B Kalaignarkarunanidhi Institute of Technology
  • Subapriya V Government College of Engineering, Trichy
  • Sivaramakrishnan S New Horizon College of Engineering
  • S Premalatha K S R Institute for Engineering and Technology

DOI:

https://doi.org/10.4108/eetiot.4604

Keywords:

IoT, Node MCU, agriculture, sensors

Abstract

The agricultural sector is facing significant challenges in meeting the increasing demands for food production while ensuring sustainability and resource efficiency. To address these challenges, the integration of Internet of Things (IoT) technology into farming practices has gained attention as a promising solution. This research focuses on the development and implementation of an IoT-enabled smart farming system aimed at enhancing crop growth efficiency. The proposed system leverages IoT sensors and devices to monitor and collect real-time data on various parameters such as environmental conditions, soil moisture levels, and crop health. The collected data is then analyzed using advanced analytics techniques to gain valuable insights and make informed decisions regarding irrigation, fertilization, and pest control. By utilizing IoT technology, farmers can optimize their resource utilization, reduce waste, and maximize crop productivity. This research aims to investigate the potential benefits and challenges associated with implementing the IoT-enabled smart farming system. In this paper, a cutting-edge Internet of Things (IoT) technology is explored for monitoring weather and soil conditions for efficient crop development. The system was built to monitor temperature, humidity, and soil moisture using Node MCU and several linked sensors. Additionally, a Wi-Fi connection is used to send a notification through SMS to the farmer's phone about the field's environmental state. The results will help in developing strategies and guidelines for the widespread adoption of IoT-enabled smart farming practices, ultimately leading to sustainable and efficient crop production to meet the demands of a growing population.

Downloads

Download data is not yet available.
<br data-mce-bogus="1"> <br data-mce-bogus="1">

References

Zhang, J., Wei, W., Luo, J., Zhang, S., & Liu, P. (2020). IoT-enabled smart agriculture: A survey on smart farming methodologies, challenges, and opportunities. Journal of Ambient Intelligence and Humanized Computing, 11(4), 1909-1929.

Mishra, P., Shukla, D., & Chakraborty, D. (2018). IoT based smart farming: A review. In 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA) (pp. 895-899). IEEE.

Khan, S., Rahman, A., & Lloret, J. (2019). An IoT-based intelligent system for agriculture crop protection and monitoring. Computers, 8(3), 66.

Yadav, N., & Jaiswal, P. (2020). IoT-enabled smart farming: A comprehensive review and future directions. Computers and Electronics in Agriculture, 173, 105405.

Islam, M. T., Mahmud, M. S., Islam, M. R., & Kwak, K. S. (2020). IoT-based smart agriculture: Toward sustainable agricultural practices. Sensors, 20(9), 2477.

Anushree Math, Layak Ali, Pruthviraj U” Development of Smart Drip Irrigation System Using IoT”2018. DOI: https://doi.org/10.1109/DISCOVER.2018.8674080

Rathish, C. R., and S. Sivaramakrishnan. "System for the Management of Plant Irrigation Based on the Internet of Things." Web of Scholars: Multidimensional Research Journal 1, no. 3 (2022): 29-54.

Sivaramakrishnan, S., and T. Kesavamurthy. "Identifying Cluster Head and Data Transmission Through Them for Efficient Communication in Wireless Sensor Network." Journal of Computational and Theoretical Nanoscience 14.8 (2017): 4014-4020. DOI: https://doi.org/10.1166/jctn.2017.6710

Vanitha, U., Sivaramakrishnan, S., Karthika, S., & Babukarthik, R. G. (2020, December). Efficient Communication Routing Through WiMax Network During Disaster. In IOP Conference Series: Materials Science and Engineering (Vol. 994, No. 1, p. 012035). IOP Publishing. DOI: https://doi.org/10.1088/1757-899X/994/1/012035

Sivaramakrishnan, S., and T. Kesavamurthy. "Emseep--Effective Modelling of Scalable Energy Efficient Protocol In Wireless Sensor Network." Advances in Natural and Applied Sciences 11, no. 12 (2017): 18-26.

Sivaramakrishnan, S. (2021). Terrance Frederick Fernandez; R. G. Babukarthik; S. Premalatha, “4Forecasting Time Series Data Using ARIMA and Facebook Prophet Models. In Big Data Managementin Sensing: Applications in AI and IoT (pp. 47–60). River Publishers DOI: https://doi.org/10.1201/9781003337355-4

Devi BK, Vijayakumar V, Suseela G, Kavin BP, Sivaramakrishnan S, Rodrigues JJ. An Improved Security Framework In Health Care Using Hybrid Computing. Malaysian Journal of Computer Science. 2022 Mar 31:50-61. DOI: https://doi.org/10.22452/mjcs.sp2022no1.4

Laksiri, H. G. C. R., H. A. C. Dharmagunawardhana, and J. V. Wijayakulasooriya. "Design and optimization of IOT based smart irrigation system in Sri Lanka." In 2019 14th Conference on Industrial and Information Systems (ICIIS), pp. 198-202. IEEE, 2019. DOI: https://doi.org/10.1109/ICIIS47346.2019.9063272

Almalki, Faris A., Ben Othman Soufiene, Saeed H. Alsamhi, and Hedi Sakli. "A low-cost platform for environmental smart farming monitoring system based on IoT and UAVs." Sustainability 13, no. 11 (2021): 5908. DOI: https://doi.org/10.3390/su13115908

Ghosh, H., Tusher, M.A., Rahat, I.S., Khasim, S., Mohanty, S.N. (2023). Water Quality Assessment Through Predictive Machine Learning. In: Intelligent Computing and Networking. IC-ICN 2023. Lecture Notes in Networks and Systems, vol 699. Springer, Singapore. https://doi.org/10.1007/978-981-99-3177-4_6 DOI: https://doi.org/10.1007/978-981-99-3177-4_6

Alenezi, F.; Armghan, A.; Mohanty, S.N.; Jhaveri, R.H.; Tiwari, P. Block-Greedy and CNN Based Underwater Image Dehazing for Novel Depth Estimation and Optimal Ambient Light. Water 2021, 13, 3470. https://doi.org/10.3390/w13233470 DOI: https://doi.org/10.3390/w13233470

G. P. Rout and S. N. Mohanty, "A Hybrid Approach for Network Intrusion Detection," 2015 Fifth International Conference on Communication Systems and Network Technologies, Gwalior, India, 2015, pp. 614-617, doi: 10.1109/CSNT.2015.76. DOI: https://doi.org/10.1109/CSNT.2015.76

Downloads

Published

14-12-2023

How to Cite

[1]
N. Jadhav, R. B, S. V, S. S, and S. Premalatha, “Enhancing Crop Growth Efficiency through IoT-enabled Smart Farming System”, EAI Endorsed Trans IoT, vol. 10, Dec. 2023.