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47 articles for “moisture detection”
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Use of LANDSAT ETM + Data for Detection of Prosopis juliflora in Irrigated Zones
Abstract: Prosopis juliflora (PJ) can be used as a relevant indicator for integrated management of irrigated saline soil in arid zones. Remotely Sensed Landsat Enhanced Thematic Mapper Plus (ETM+) dataset was used for detection and delineation of areas under PJ. The vegetation densities were classified using normalized difference vegetation index (NDVI) whereas soil moisture levels were estimated based on distribution of soil wetness index (SWI). The classified NDVI map was combined …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 1, 2013 · pp. 36–47 Read article
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From Sensors to Smartphones: Evaluating the Blynk IoT Smart Plant Monitoring System for Modern Gardening
Abstract: In our technologically advanced era, where automation permeates every aspect of our lives, even plants have been transformed into smart entities. This article explores the integration of various technical components to imbue plants with self-maintenance capabilities, eliminating the need for human intervention. The system discussed herein regulates moisture levels and temperature within plants, ensuring optimal growing conditions. It incorporates alerts to notify users of deviations from preset parameters and activates …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 18–27 Read article
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IoT Based Wireless Data Monitoring System with TFT LCD
Abstract: This 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 …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 10–18 Read article
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Forest Fire Detection System
Abstract: The IOT industry is rapidly growing in the current scenario. Each one of us now understands the significance of Internet of Things. At present, it is being used in almost all industries making our lives a bit easier. Forest fires have become a massive threat across the globe, causing numerous negative impacts on human habitats and forest ecosystems. Climatic changes and the greenhouse effect are among the consequences of such …
Published in Journal of VLSI Design Tools and Technology · Vol. 13, Issue 1, 2023 · pp. 1–5 Read article
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Artificial Intelligence for Real-time Water Management
Abstract: Effective water management is vital for sustainable development, requiring the strategic allocation and utilization of water resources to satisfy the diverse demands of agriculture, industry, and households. Traditional methods are increasingly inadequate due to escalating challenges from climate change and population growth, which amplify water scarcity and distribution issues. To overcome these challenges, we need innovative solutions. Artificial intelligence offers significant potential in revolutionizing realtime water management through advanced techniques …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 13–20 Read article
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Understanding Food Spoilage: Mechanisms, Shelf-Life Determination, and Safety Standards
Abstract: Food spoilage poses significant challenges to the global food industry, impacting both food safety and economic sustainability. The main causes of food quality deterioration are microbial and non-microbial spoiling. Microbial spoilage primarily results from the activity of bacteria, yeasts, and molds, which thrive under favorable environmental conditions. These microorganisms can lead to food poisoning and spoilage through the production of off-flavors, discoloration, slime formation, and the accumulation of harmful toxins. …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 14, Issue 1, 2025 · pp. 6–9 Read article
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Vegetation Parameter Derivation for Forest Health Measurement and Stress Detection in a Time Series
Abstract: AbstractThe forest health of Jharkhand is declining for the reasons which includes heavy unscientific mining, climate change, air pollution and increased human activities. Vegetation plays a key role in reducing an ambient temperature, moisture and pollutant capture, energy use and subsequent ground level ozone reduction. There is an urgent need of detailed measurement and monitoring of forest’s health. Modern technological advancement in the field of remote sensing technology enables us …
Published in Research & Reviews : Journal of Ecology · Vol. 4, Issue 3, 2015 · pp. 19–26 Read article
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AI and Big Data for Optimized Water Resource Management in Arid Regions
Abstract: Water scarcity in arid regions is an escalating global challenge, driven by climate change, population growth, and increasing demands from urban, industrial, and agricultural sectors. Effective water resource management (WRM) is crucial for sustaining livelihoods, economic stability, and infrastructure resilience. Emerging technologies such as artificial intelligence (AI), machine learning (ML), and big data offer innovative solutions for optimizing water use, enhancing efficiency, and improving sustainability in water-scarce environments. This paper …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–5 Read article
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Jowar Millet Crop Monitoring and Analysis Robot (JMAR): A Smart Solution for Plant and Soil Health in Jowar Millet Farming
Abstract: Farmers cultivating jowar millet (Sorghum) face significant challenges in maintaining crop health and optimizing yield due to the limitations of traditional plant disease detection and soil health assessment methods. Visual inspection and indigenous knowledge are labour-intensive, time-consuming, and often inaccurate, while soil monitoring requires specialized equipment that is not always affordable or accessible. These issues hinder timely intervention and can lead to crop losses and soil degradation. To address these …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 2, 2025 · pp. 8–18 Read article
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IoT-Based Automated Crop Protection System for Smart Farming
Abstract: The development of current technological advancements produces expanded capabilities for agricultural farming production alongside pest management techniques. The Automatic Crop Protection System requires an Arduino controller and Blynk IoT application for monitoring and managing essential environmental parameters including temperature along with humidity as well as soil moisture and pest behavior. Real-time environmental and soil data obtained by the suggested system's sensor array gets analyzed and controlled by an Arduino controller. …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 1–8 Read article
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Detecting the Additives Impact on The Durability of Asphalt Concrete
Abstract: Modification of asphalt cement with additives is considered as a sustainable issue to enhance the asphalt concrete quality and durability among the expected service life. An attempt has been made in the present investigation to detect the influence of modification of the asphalt binder by 2 % silica fumes and 4 % fly ash additives on the durability of asphalt concrete in terms of fatigue life under long-term ageing and …
Published in Trends in Transport Engineering and Applications · Vol. 8, Issue 2, 2021 · pp. 21–29 Read article
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The Change in Physico-chemical, Biochemical and Microbiological Parameters of White, Green, Black and Oolong Tea during Storage in Different Packaging with Different Desiccants
Abstract: Tea is commercially important cash crop. The shelf life of tea is a major concern of tea industries. Different types of tea like White, Oolong, Green and Black tea have some individually distinct quality parameters like physico-chemical, biochemical and microbial content, which are changed (deteriorated) during storage-and the trend of changes are also distinct for each type. Use of different packaging materials along with different desiccant like silica, calcium chloride …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 10, Issue 3, 2020 · pp. 38–48 Read article
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Comparative Analysis of a Lie Detector using Support Vector Machine, Naive Bayes, and Random Forest Algorithm with Speech to Text Conversion
Abstract: Lie detection, additionally known as deception detection, uses questioning techniques to determine truth and falsehood in response. Physiological responses like vital sign, blood pressure, heartbeat, and respiratory rate are used to discriminate between truth and lie. Once we lie, our blood pressure goes up, our heart beats quicker, we have a tendency to breathe faster (and our breathing slows once the lie has been told), and changes occur in our …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 1, 2021 · pp. 13–18 Read article
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Harnessing IoT and Sensor Technologies for Smart Agriculture: A Path Towards Viksit Bharat
Abstract: The integration of Internet of Things (IoT) and sensor technologies is redefining the landscape of Indian agriculture, serving as a catalyst for achieving the ambitious vision of Viksit Bharat (Developed India). Indian agriculture faces significant challenges such as resource scarcity, climate variability, and fragmented supply chains, which hinder productivity and sustainability. IoT-based solutions offer innovative approaches to address these critical issues by enabling smart irrigation systems, real-time field monitoring, precision …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 2, 2025 · pp. 38–45 Read article
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Smart Precision Agriculture using Wireless Sensor Network and IoT
Abstract: This study presents wireless irrigation and plant disease detection system. This system aims toreduce the manual work for the farmer by incorporating wireless technology to ensure theefficiency. The entire system consists of Wireless Sensor Node Units and a WirelessInformation Unit. Each sensor node is equipped with a temperature and humidity sensor, asoil moisture sensor and a microcontroller to measure the sensor data values. In addition tothese sensors, we have used …
Published in Recent Trends in Sensor Research & Technology · Vol. 7, Issue 3, 2020 · pp. 8–13 Read article
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Advanced Fiber-Reinforced Polymer Composites: Processing, Nano-Modified Adhesive Technologies, Interfacial Engineering, Durability, and Structural Applications—A Comprehensive Review
Abstract: Fiber reinforced polymer (FRP) composites are considered to be one of the most universal categories of advanced engineering materials owing to their unique properties such as outstanding strength-to-weight ratio, corrosion resistance, fatigue durability, and wide opportunities for design. Innovations in the fields of fiber reinforcement, polymer matrix system, composite manufacturing technologies, and nano-modified adhesives technology have greatly extended the range of applications of this type of materials in aerospace, automotive, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 980–990 Read article
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A review on polyhouse monitoring system
Abstract: The integration of Internet of Things (IoT) technology in agriculture has revolutionized traditional farming practices, offering innovative solutions to enhance productivity, sustainability, and resource efficiency. This study explores the role of loT-based systems in smart agriculture, focusing on applications such as environmental monitoring, automated irrigation, crop health prediction, and precision farming. The reviewed systems utilize advanced sensors to monitor parameters like temperature, humidity, soil moisture, and light intensity, transmitting real-time …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 2, 2025 · pp. 1–9 Read article
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IoT-Based Smart Agriculture System for Real- Time Crop Monitoring
Abstract: This review presents an accessible architecture for an IoT-based smart agriculture system that combines field sensors, low-power embedded electronics, wireless communication, cloud or edge data processing, farmer dashboards, and guarded actuation. The sensing layer focuses on soil moisture and temperature, ambient temperature and relative humidity (RH), light, rainfall, leaf wetness, water flow, and optional soil chemistry measurements. The communication layer examines Wi-Fi, Zigbee, LoRaWAN, and cellular Internet of Things options, …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 3, 2026 Read article
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Contributing factors in the initiation of failure of asphalt concrete
Abstract: As long as the asphalt concrete pavement is under service, signs of failure usually initiate and the distress types start showing throughout the service life. The asphalt concrete pavement practices repeated tensile and shear stresses through the vehicular loading. In the present study, the contributing factors in the initiation of failure under repeated flexural stresses have been detected. Slab samples of Asphalt concrete have been prepared at the laboratory by …
Published in Trends in Transport Engineering and Applications · Vol. 10, Issue 1, 2023 · pp. 55–61 Read article
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Non-Lethal Protection of Farmlands Against Wild Animals and Crop Estimation
Abstract: This paper is an integrated smart system that aims to enhance productivity related to agriculture along with agricultural safety through modern technology. Crop estimation system uses IoT sensors and machine learning algorithms for the analysis of real-time environmental data in terms of soil moisture, temperature, pH levels, and humidity. This data will further be used to provide the optimal crop for cultivation and appropriate fertilizer requirements for prediction of requirements. …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 1, 2025 · pp. 18–24 Read article