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nThis is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.n
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J.J. Bandal, Pranav Tekawade, Aniket Shingade, Rohan Satav,
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- Assistant Professor, Student, Assistant Professor, Assistant Professor, Department of Electronics and Telecommunication (E&TC) Engineering, Rajgad Dnyanpeeth’s Shree Chhatrapati Shivajiraje College of Engineering Bhor, Pune, Department of Electronics and Telecommunication (E&TC) Engineering, Rajgad Dnyanpeeth’s Shree Chhatrapati Shivajiraje College of Engineering Bhor, Pune, Department of Electronics and Telecommunication (E&TC) Engineering, Rajgad Dnyanpeeth’s Shree Chhatrapati Shivajiraje College of Engineering Bhor, Pune, Department of Electronics and Telecommunication (E&TC) Engineering, Rajgad Dnyanpeeth’s Shree Chhatrapati Shivajiraje College of Engineering Bhor, Pune, Maharashtra, Maharashtra, Maharashtra, Maharashtra, India, India, India, India
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Abstract
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nThis study introduces the design, development, and implementation of an Internet of Things (IoT)-based wireless data monitoring system that utilizes a Thin-Film Transistor Liquid Crystal Display (TFT LCD) for real-time visualization. The system is engineered to collect, transmit, and display sensor data wirelessly, making it suitable for a range of practical applications such as industrial automation, healthcare monitoring, and environmental observation. The key goal of this work is to enhance the efficiency, reliability, and accessibility of data monitoring processes by reducing the need for manual data collection and human oversight. The proposed system architecture includes sensor modules for data acquisition, a microcontroller for processing, wireless communication modules for data transmission, and a TFT LCD for instant data display. Through experimental evaluation, the system demonstrated a high level of accuracy and responsiveness in real-time conditions. The results highlight the system’s capability to deliver timely and precise data visualization, which is crucial for informed decision-making in critical environments. In addition, the system promotes flexibility and scalability, paving the way for broader adoption across various sectors. Future work could focus on integrating artificial intelligence and machine learning techniques to enable predictive analytics, anomaly detection, and automated responses in complex monitoring systems. nn
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Keywords: ESP32, DHT11, soil moisture sensor, TFT display, LDR
n[if 424 equals=”Regular Issue”][This article belongs to Journal of Artificial Intelligence Research & Advances ]
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nJ.J. Bandal, Pranav Tekawade, Aniket Shingade, Rohan Satav. [if 2584 equals=”][226 wpautop=0 striphtml=1][else]IoT Based Wireless Data Monitoring System with TFT LCD[/if 2584]. Journal of Artificial Intelligence Research & Advances. 07/08/2025; 12(03):10-18.
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nJ.J. Bandal, Pranav Tekawade, Aniket Shingade, Rohan Satav. [if 2584 equals=”][226 striphtml=1][else]IoT Based Wireless Data Monitoring System with TFT LCD[/if 2584]. Journal of Artificial Intelligence Research & Advances. 07/08/2025; 12(03):10-18. Available from: https://journals.stmjournals.com/joaira/article=07/08/2025/view=0
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Journal of Artificial Intelligence Research & Advances
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| Volume | 12 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 03 | |
| Received | 12/04/2025 | |
| Accepted | 23/06/2025 | |
| Published | 07/08/2025 | |
| Retracted | ||
| Publication Time | 117 Days |
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