Recent Trends in Sensor Research & Technology
Volume 10, Issue 1 (2023)
Published
Table of contents
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Home Safety and Security using NodeMCU: A Smart IoT Solution
Abstract: Homeowners are increasingly worried about the rise in burglaries and house invasions. Conventional home security systems are frequently pricy, intricate, and challenging to install. However, the emergence of the Internet of Things (IoT) has opened new possibilities for the creation of clever and affordable home security solutions. In this study, we present an open-source platform called NodeMCU that is built on the ESP8266 Wi-Fi module for a smart IoT solution …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 1, 2023 · pp. 1–7 Read article
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Smart Agriculture System using IoT: Farming in the Digital Age
Abstract: Smart agriculture using IoT is an emerging field that promises to revolutionize farming practices by providing real-time data on various agricultural parameters. In this paper, we propose a smart agriculture system using IoT that integrates various sensors and devices to collect and analyze data on soil moisture, temperature, humidity, crop growth, and other factors that affect crop yield and quality. The system also includes a mobile app that provides farmers …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 1, 2023 · pp. 15–20 Read article
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A Comparative Analysis of GSM-Dependent Women Safety Devices in the Market
Abstract: The right to be free from abuse, harassment, and discrimination applies to women. Women may achieve their full potential as individuals and contributors to the workforce, communities, and economies by removing the barriers created by unsafe environments. However, according to the World Health Organisation, one in three (35%) women worldwide have encountered non-partner sexual assault or intimate relationship abuse in their lives. This study defines a Device for Women Safety …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 1, 2023 · pp. 21–29 Read article
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Accurate & Efficient Plant Disease Detection using Transfer Learning with Edge Impulse
Abstract: Transfer learning is a powerful machine learning technique that allows optimization of pre-trained models for related tasks on small datasets. In this research paper, we explore the application of Edge Impulse & transfer learning for plant diseases and aim to detect on edge devices more effectively at low cost. We collected and preprocessed many plant images and used this data to fine-tune a neural network model pre-trained by Edge Impulse. …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 1, 2023 · pp. 30–41 Read article
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Smart Shopping System Application based on RFID.”
Abstract: Recent events indicate that going shopping in malls has taken on a daily routine in large cities. After making a purchase, customers must stand in queue for a long time to pay the bill. The fundamental idea is to make regular shopping easier by reducing time spent and eliminating daily hassles like selecting the right item and waiting in big lines. Therefore, since RFID passive tags have a greater range, …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 1, 2023 · pp. 8–14 Read article