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509 articles for “Environmental Monitoring”
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Integrated Microfluidic Platform for Accelerated Catalytic Analysis: Enhancing Sensitivity and Efficiency
Abstract: In this study, we introduce a groundbreaking advancement in microfluidic technology tailored for catalytic and catalytic analysis. Our innovative microfluidic device integrates novel features aimed at augmenting sensitivity and accelerating analysis while ensuring reliability and user-friendliness. The hallmark of our device is the fusion of sample preparation and analysis functionalities within the microfluidic chip. By embedding sample preconcentration and purification modules, we achieve remarkable enhancements in sensitivity and detection limits. …
Published in Journal of Catalyst & Catalysis · Vol. 10, Issue 2, 2023 · pp. 51–27 Read article
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Drone Aerial Videography
Abstract: Drone aerial videography has become a transformative force across industries, offering unparalleled perspectives and high-quality footage. In tourism, drones capture breathtaking views and provide immersive virtual tours, enticing travelers with stunning visuals of destinations. They revolutionize journalism by enabling real-time coverage of events and hazardous areas, ensuring comprehensive and safer reporting. Additionally, drones add cinematic flair to special events like weddings, efficiently capturing moments from unique angles and enhancing the …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 1, 2025 · pp. 53–58 Read article
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Smart Environmental Noise Monitoring System Using IoT and Machine Learning for Urban Pollution Control
Abstract: Human race has steadily evolved over past centuries. Development of new technology, vigorous research, consistent efforts, indomitable will to find solutions for the problems, are the key factors to shape our future in way that everyone gets safe, secure and satisfactory life. Construction industries provides basic but most valuable service or product or we can say that construction industries fulfill the basic needs of individual and group of people by …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 3, 2025 Read article
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Artificial intelligence-integrated nanobiotechnology for precision medicine, smart diagnostics, and sustainable environmental applications
Abstract: Background: Nanobiotechnology integrates nanoscale materials with biological systems, enabling breakthroughs in drug delivery, biosensing, and environmental monitoring. However, the complexity of biological interactions and the vast parameter space of nano‑bio interfaces limit conventional design. Artificial intelligence (AI) offers powerful tools for modelling, predicting, and optimising these systems.Objective: This review provides a systematic, STM‑compliant overview of AI‑integrated nanobiotechnology across three domains: precision medicine (AI‑optimised nanocarriers, personalised therapeutics), smart diagnostics (AI‑powered nano‑biosensors, …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 Read article
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Progress and Uses of Satellite Remote Sensing
Abstract: Satellite remote sensing has become an important tool for watching, studying, and controlling both natural and man-made systems on Earth. Satellite sensors collect electromagnetic radiation that is reflected or transmitted from the Earth's surface. This data is needed for environmental monitoring, resource management, and hazard assessment. Recent improvements in sensor resolution, data processing techniques, and cloud-based platforms have made remote sensing applications much more accurate and easier to use. The …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 8–19 Read article
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Intelligent Earth: AI As A Catalyst For Climate Action
Abstract: Artificial Intelligence (AI) is assuming an increasingly influential role in climate science, providing advanced tools capable of interpreting vast, complex, and multi-dimensional environmental datasets. Traditional climate modeling approaches, while grounded in physical principles, frequently struggle to deliver high-resolution, real-time, and region-specific forecasts because of heavy computational demands, incomplete observations, and uncertainties in representing small -- scale processes. Artificial intelligence (AI) techniques, especially machine learning and deep learning, provide strong substitutes …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 48–52 Read article
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Innovative Technologies for Sustainable Dairy Development: Implications for Improved Efficiency, Resource Utilization and Environmental Footprints
Abstract: This study explores innovative technologies in dairy farming aimed at enhancing sustainability through improved efficiency, optimized resource utilization, and reduced environmental footprints. As global demand for dairy products increases, the need for sustainable practices has become paramount, particularly in regions where agricultural systems face environmental and resource constraints. The paper examines a range of cutting- edge technologies, including precision feeding systems, genomic selection, automated health monitoring, and waste management solutions. …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 Read article
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Water Quality Monitoring System
Abstract: Water contamination is a serious issue that endangers both human health and the environment. Monitoring water quality in real time is crucial to ensuring that people have access to clean and safe drinking water. This project uses Internet of Things (IoT) technologies to provide a low-cost, straightforward water quality monitoring device. The system measures the temperature, pH, turbidity (cloudiness), and water flow using a variety of sensors. These tests aid …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 1, 2025 · pp. 37–44 Read article
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IoT-enhanced Real-time Monitoring and Hazard Detection
Abstract: This research explores the innovative application of internet of things (IoT) technology within occupational health and safety management systems (OHSMS) to substantially improve real-time monitoring and hazard detection in industrial settings. IoT sensors and wearable devices are deployed to enable continuous and thorough collection of data on environmental conditions, equipment status, and worker health. Real-time data analysis facilitated by IoT technology allows for the rapid identification and mitigation of potential …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 2, 2024 · pp. 20–24 Read article
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Use of Artificial Intelligence to Access and Ensure Safe Drinking Water Supply: A Review
Abstract: Ensuring access to safe drinking water is a critical public health challenge. Traditional water quality assessment methods are often labor-intensive and time-consuming. Artificial intelligence offers a promising alternative, providing rapid, accurate, and scalable solutions for monitoring and predicting water quality. This systematic review examines the application of AI. The review highlights various AI models, including artificial neural networks, support vector machines, decision trees, and ensemble methods, in predicting water quality …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 21–28 Read article
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Advanced Sensor Technologies for Real Time Water Quality Monitoring and Prevention of Pollution
Abstract: SDG 14 is designated as "Life Below Water." The United Nations established 17 global objectives in 2015. These fall under the parameters of the 2030 Agenda for Sustainable Development. This mission aims to preserve and utilize oceans, seas, and marine resources sustainably to foster peace, equality, and inclusivity. Marine life involves multiple objectives and metrics reliant on oceans for sustenance, climatic stabilization, and economic endeavours. The oceans encompass nearly 70% …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 1, 2025 · pp. 9–14 Read article
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Polymer Composite Mapping: Analyzing Land Use/Land Cover Changes in Mathura District, Uttar Pradesh, India
Abstract: Polymer-based mapping approaches are utilized in this study to improve the accuracy and consistency of LULC classification. Utilizing the special qualities of polymers like their elasticity, robustness, and adaptability, we create a strong framework for mapping LULC dynamics. Over the past few years, the district of Mathura in the state of Uttar Pradesh has experienced substantial expansion and development. This study assessed the change detection and estimated the shift in …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 662–667 Read article
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Multipurpose Farming Robot Control
Abstract: Conventional agricultural practices frequently involve a significant amount of manual labor and are prone to inefficiencies and resource waste.The relevance of incorporating robotics and mobile technology into agriculture lies in addressing several critical challenges faced by the industry. The implementation of IoT technology in smart farming systems. It covers various IoT applications in agriculture, such as environmental monitoring, automated irrigation, and precision farming, highlighting the benefits and challenges of IoT …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 2, 2024 · pp. 19–25 Read article
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Understanding the Role of Remote Sensing Techniques in Monitoring Air Quality for Effective Adherence to Environmental Impact Assessment Practices in Nigeria
Abstract: The paper reviews the Nigerian Environmental Impact Assessment (EIA) Act, outlining the established air quality thresholds and emission caps for stationary sources. The standard applies to; common pollutants like sulphur dioxide, carbon monoxide, ozone, particulate matter and nitrogen oxides; toxic metals such as arsenic, nickel, cadmium and mercury; as well as volatile organic compounds, ammonia, antimony, zinc, formaldehyde and radon.It also describes the major classifications of remote sensing applications, including …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 2, 2026 Read article
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Integration of IoT and Environmental Science: Vehicle Emission Monitoring Perspective
Abstract: — Since automobiles are the primary source of environmental pollution, an increase in automobile ownership also results in an increase in air pollution. Gases such as methane, butane, LPG, smoke (MQ2), carbon monoxide (MQ7), and hydrogen gas (MQ8) are all released from the vehicle as it smokes. Cars produce around half of the MQ2, MQ7, and one-fourth of the MQ9 in our environment, which contributes to global warming. The number …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 1–9 Read article
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Development of a Low-Cost Air Quality Monitoring System Using the MQ2 Sensor
Abstract: Air pollution is becoming a major environmental problem, especially in cities, due to the quick expansion of industry and the rise in car emissions. The air is contaminated with dangerous chemicals such as carbon monoxide, nitrogen oxides, and fine particles, which have a major negative influence on human health by raising the risk of heart and respiratory diseases. Because of their dense populations and heavy traffic, urban areas are particularly …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 2, 2025 · pp. 9–15 Read article
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Innovative Biosensor Applications in Petroleum Industry for Enhanced Monitoring and Safety Measures
Abstract: The petroleum industry is fundamental to the global economy, providing the energy and raw materials that drive modern society. However, this industry faces a myriad of challenges, including ensuring the safety of operations, monitoring critical processes effectively, and minimizing environmental impacts. Traditional monitoring techniques, while valuable, often fall short in delivering real-time data and comprehensive insights into operational parameters. These limitations can result in delayed responses to potential hazards and …
Published in Journal of Petroleum Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 1–13 Read article
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Intelligent Paradigms in Subsea Connectivity: A Comprehensive Review of Artificial Intelligence in Underwater Communications
Abstract: Underwater wireless communication (UWC) plays a critical role in ocean exploration, environmental monitoring, offshore energy operations, disaster management, and naval defense. However, the underwater environment presents significant communication challenges, including severe signal attenuation, multipath propagation, Doppler effects, limited bandwidth, high latency, and energy constraints. Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML) have emerged as promising solutions to address these limitations and enhance the efficiency, reliability, and adaptability …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Photosynthetic Living Plant–Integrated Cybernetic Sensors for Autonomous Environmental Intelligence
Abstract: The increasing demand for sustainable and autonomous environmental monitoring systems has motivated the development of biologically integrated sensing technologies that combine living organisms with advanced cybernetic intelligence. This study proposes a novel framework of Photosynthetic Living Plant–Integrated Cybernetic Sensors for Autonomous Environmental Intelligence, where living plants act as self-sustaining sensing platforms capable of continuously monitoring environmental conditions without external energy sources. By integrating bioelectrical signal acquisition modules, flexible nanomaterial electrodes, …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
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Advance in Spatial Statistics for Environmental Data Analysis
Abstract: Recent advancements in spatial statistics have significantly enhanced the analysis of environmental data, addressing complex spatial dependencies and offering robust methodologies for environmental monitoring, modeling, and decision-making. This abstract highlights key developments in the field, emphasizing their applications and impact. Geostatistical Methods, Improved geostatistical techniques, such as kriging and co-kriging, provide more accurate predictions of environmental variables by incorporating spatial correlation structures. Advanced kriging variants, including Bayesian kriging and machine …
Published in Research & Reviews : Journal of Statistics · Vol. 12, Issue 3, 2023 · pp. 35–39 Read article