Open Access

ARTICLE

Internet of Things Based Smart Irrigation System Using ESP WROOM 32

Krish R. Mehta, K. Jayant Naidu, Madhav Baheti, Dev Parmar, A. Sharmila^*

Department of Control and Automation, School of Electrical Engineering, Vellore Institute of Technology, Vellore, 632014, India

* Corresponding Author: A. Sharmila. Email:

(This article belongs to the Special Issue: Monitoring of Smart Controlled Secure Applications using IoT and Deep Learning Techniques)

Journal on Internet of Things 2023, 5, 45-55. https://doi.org/10.32604/jiot.2023.043102

Received 21 June 2023; Accepted 21 November 2023; Issue published 26 December 2023

Abstract

Farming has been the most prominent and fundamental activity for generations. As the population has been multiplying exponentially, the demand for agricultural yield is growing relentlessly. Such high demand in production through traditional farming methodologies often falls short in terms of efficiency due to the limitations of manual labour. In the era of digitization, smart agricultural solutions have been emerging through the windows of Internet of Things and Artificial Intelligence to improve resource management, optimize the process of farming and enhance the yield of crops, hence, ensuring sustainable growth of the increasing production. By implementing modern technologies in the field of farming we can enable telemetry through which farmers can remotely monitor and gather real time data on the desired parameters. It also gives accurate and precise measurements when compared to traditional measurement techniques. This research paper focuses on an IoT based approach for smart monitoring using ESP WROOM 32 microcontroller that helps farmers identify real-time parameters of temperature, moisture and humidity of their field. Real-time data on temperature, moisture, and humidity enables farmers to make informed decisions about irrigation and crop protection. Furthermore, the use of smart monitoring ensures accurate and precise measurements, surpassing the limitations of traditional techniques.

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Keywords

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