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92 articles for “Climate Monitoring”
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Rising Temperatures and Surface Mass Loss in Greenland: Implications for Regional Glacier Dynamics and Global Sea Level Rise
Abstract: In Greenland, the ice sheet serves as one of the strongest indicators of global climate change, with consistently rising temperatures driving it toward an even more negative mass balance. Over the last two decades, warmer conditions have exacerbated surface melting, darkened ice, and resulted in feedback stimulating further loss. This study assesses how those temperature trends—particularly during summer peak months—have impacted the stability of Greenland's ice, and then, more importantly, …
Published in Journal of Offshore Structure and Technology · Vol. 12, Issue 3, 2025 · pp. 15–22 Read article
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Real-Time Ocean Monitoring and Early Warning Systems with IoT Technology
Abstract: The increasing frequency of extreme weather events, rising sea levels, and threats to marine biodiversity This paper explores the application of IoT in enhancing real-time ocean monitoring and early warning systems, focusing on the deployment of smart sensors, connected buoys, and data analytics to collect key parameters such as temperature, salinity, pH, and wave activity. To preserve and responsibly utilise the seas, oceans, and marine resources in support of sustainable …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 1, 2025 · pp. 13–24 Read article
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Recent Advances in Atmospheric Physics and Chemistry: Composition, Dynamics, and Impacts
Abstract: The Earth's atmosphere is vital for sustaining life and regulating climate. This review explores key aspects of atmospheric physics and chemistry, including atmospheric composition, the dynamics of greenhouse gases, ozone depletion, and the effects of aerosols and atmospheric pollutants. The interaction between anthropogenic emissions and natural processes, such as the carbon and nitrogen cycles, is crucial for understanding climate feedback mechanisms. The impact of photochemistry on air quality and the …
Published in International Journal of Atmosphere · Vol. 1, Issue 2, 2024 · pp. 5–9 Read article
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Integrated Surface Water–Groundwater Dynamics: Implications for Pollution Pathways, Prevention, and Environmental Control
Abstract: Water resources worldwide are increasingly threatened by pollution pressures amplified by climate change and intensified human activities. The vulnerability of surface water and groundwater systems to contamination is strongly governed by their dynamic hydrologic connectivity, which is often overlooked in pollution prevention and control frameworks. Rising global temperatures, altered precipitation regimes, land-use change, and intensified abstraction patterns modify recharge processes, flow paths, and contaminant transport mechanisms across environmental landscapes. This …
Published in International Journal of Pollution: Prevention & Control · Vol. 4, Issue 1, 2026 · pp. 34–40 Read article
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Next-Generation Satellite Remote Sensing: Innovations, Applications, and Future Prospects
Abstract: Advances in satellite remote sensing have revolutionized our ability to monitor, analyze, and understand the Earth's environment across various scales. Over the past few decades, the field has seen remarkable progress in sensor technology, data processing techniques, and analytical methodologies. Modern satellites now provide high-resolution imagery and multi-spectral data, enabling enhanced monitoring of land cover, atmospheric conditions, oceanic dynamics, and natural disasters. These advancements have facilitated improvements in climate change …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 1, 2025 · pp. 37–62 Read article
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Intelligent Farming: Integrating AI and IoT for Sustainable Agriculture
Abstract: Artificial Intelligence (AI) and the Internet of Things (IoT) are transforming modern agriculture by enabling data-driven, resource-efficient, and climate-resilient farming practices. This review critically examines recent advances in AI-IoT integration across crop production, irrigation management, pest and disease surveillance, and supply chain optimization through an analysis of published literature and documented case studies. The review indicates that AI-assisted predictive analytics combined with IoT-based real-time sensing significantly improves decision-making in precision …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 Read article
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Birdwatcher’s Assistant: AI- Based Bird Species Classification
Abstract: Many bird species have gone extinct because of human activities and changes in the climate. The loss of habitats is a significant danger to global biodiversity. Therefore, it is important to monitor species distribution and identify the components of biodiversity in an area to develop conservation strategies. The ultimate objective is to build a machine learning model that can accurately differentiate between various bird species based solely on visual cues. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 17–27 Read article
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A Decade of Viral Evolution (2015–2025): Emergence, Mutations, and Implications for Global Health
Abstract: Over the past decade (2015-2025), viral evolution has profoundly reshaped the global health landscape, challenging healthcare systems, diagnostic tools, therapeutic strategies, and vaccine efficacy. This review comprehensively analyzes the evolutionary trajectories of major human and zoonotic viruses, with a focus on pandemic-prone, drug-resistant, and emerging pathogens. Viral evolution is driven by diverse molecular mechanisms including high mutation rates, recombination, reassortment, host immune pressure, and antiviral interventions, leading to genetic diversification, …
Published in International Journal of Vaccines · Vol. 2, Issue 2, 2025 · pp. 31–40 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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Innovations in Sericulture: A Review of IoT and AI-Based Monitoring Systems
Abstract: Sericulture is a science which deals with the rearing of silkworms and production of silk. In India most of the rural livelihood is sericulture and is the base for financial, social, political, and intellectual advancements and upliftment since. Silk is called the queen of textiles due to its glittering luster, softness, elegance, durability, and tensile properties. There exist several commercial species of silkworms, yet the commonly used one is bombyx …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 3, Issue 1, 2025 · pp. 14–18 Read article
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The Impact of Climate Change on Infectious Diseases: Potential Risks and Mitigation Strategies
Abstract: As we confront the pressing challenge of climate change, it's vital to recognize its intertwined connection with infectious diseases. We must now navigate a future that combines strong public health interventions, environmental stewardship, and strong policy actions as we stand at the crossroads of crises. In an attempt to lessen the drastic effects of climate change on the dynamics of disease transmission, this study identifies potential risks and creative solutions. …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 21–32 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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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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Smart City Solutions for Waste Management and Pollution Control
Abstract: Recent trends in the role of artificial intelligence, IoT, and other smart technologies have a critical role toward addressing urban environmental challenges related to air quality and waste management in the context of a smart city. This changes the scope of managing air quality as, with the integration of IoT sensors, big data, and AI, they are able to predict pollution levels through real time monitoring and analysis. These technologies …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 1, 2025 · pp. 11–22 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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Smart Agriculture in India: Advancements in Image Processing for Automated Plant Disease Detection and Crop Analysis
Abstract: The adoption of image processing technologies in agriculture is emerging as a revolutionary method for tackling persistent challenges in the farming industry. These techniques are increasingly used for different tasks such as detecting plant diseases, assessing crop health, and predicting yields, especially in the framework of smart agriculture systems. This study paints a detailed picture of the latest progress in image processing techniques applied to automated disease detection and detailed …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 13–19 Read article
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Optimizing Nutrient Utilization and Microbial Protein Synthesis in Ruminants: Strategies for Enhanced Feed Efficiency and Sustainable Productivity
Abstract: This review investigates strategies to optimize nutrient utilization and microbial protein synthesis in ruminants, aiming to improve feed efficiency and enhance overall livestock productivity sustainably. It focuses on key aspects of feed formulation, including balancing non-structural carbohydrates with protein sources, incorporating bypass proteins, and selecting high-quality forages that improve fiber digestibility. The review examines various feed processing techniques such as steam-flaking, pelleting, and ammonia treatment, which enhance nutrient bioavailability and …
Published in International Journal of Nutritions · Vol. 3, Issue 1, 2026 Read article
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Innovative Techniques in Stormwater Management and Flood Protection: A Sustainable Approach
Abstract: This paper explores cutting-edge innovations in stormwater management and flood protection to address challenges posed by urbanization and climate change. Highlighting advancements such as smart water systems, green infrastructure, and predictive flood modeling, it emphasizes sustainable and resilient urban planning. These innovative approaches aim to mitigate risks while enhancing ecological balance and promoting long-term urban sustainability. Stormwater management and flood protection have become critical challenges due to increasing urbanization and …
Published in Journal of Geotechnical Engineering · Vol. 12, Issue 1, 2025 · pp. 18–24 Read article
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Enhancing Puberty in Dairy Heifers: Targeted Management Practices For Sustainable Development.
Abstract: Early attainment of puberty in dairy heifers is critical for improving reproductive efficiency and ensuring sustainable dairy production systems. This study explores targeted management practices that can accelerate puberty onset, contributing to enhanced productivity and economic viability in dairy farming. Key factors influencing puberty in heifers include nutritional management, genetic potential, health care, environmental factors, and behavioral interventions. Adequate nutrient supply, especially energy and protein, along with balanced mineral and …
Published in Research & Reviews : Journal of Ecology · Vol. 14, Issue 2, 2025 · pp. 28–35 Read article
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How Scientists Look for New Pathogens Before They Spread
Abstract: Emerging infectious illnesses are a persistent danger to global health. They often come from unexpected places, such wildlife reservoirs, changes in the climate, or human activities. Finding new diseases before they create epidemics is one of the biggest problems in modern epidemiology. This article talks about how scientists use genetic monitoring, field sampling, and real-time data processing to find, track, and describe new infectious organisms in a way that works …
Published in International Journal of Pathogens · Vol. 3, Issue 1, 2026 · pp. 11–17 Read article