Search
101 articles for “temperature and humidity”
-
Enhancing Farm Efficiency with IoT-Driven Real-Time Monitoring and Analysis
Abstract: This project proposes an Internet of Things (IoT) solution for enhancing agricultural practices by leveraging real-time data monitoring and analysis. The system utilizes NodeMCU, DHT11, pH sensor, soil moisture sensor, and an LCD display for data collection and visualization. NodeMCU facilitates internet connectivity, enabling the transmission of data to the ThingSpeak platform. Temperature and humidity are measured by the DHT11 sensor, and soil acidity is tracked by the pH sensor. …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 2, 2024 · pp. 9–15 Read article
-
Smart Mining Helmet
Abstract: The demand for coal as energy resource is always an important and significant part in our life. However, over the years many miners have lost their lives by facing accidents during the mining process due to lack of implementation of technology and monitoring systems. Now with the development of smart technology even the mining industry is adopting the technology for the safety of the miners. Hence in this paper, we …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 2, 2024 · pp. 1–6 Read article
-
Conservation of Agricultural Products in Sub-Saharan Zone by Ecological Off-grid Cold Room, Case of Senegal
Abstract: In this article, we have studied and dimensioned a solar cold room for the preservation of potatoes in sub-Saharan areas. The conservation of post-harvest agricultural products is a major issue in this part of Africa, hence the need to focus our research on off-grid refrigeration installations. In this work, we focused on the use of local materials such as agricultural residues and terracotta for the construction of solar cold rooms. …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 11, Issue 2, 2024 · pp. 24–35 Read article
-
Implementation of Energy-efficient Axial Fans for Air Handling Unit Using AI Model
Abstract: This research explores the integration of energy-efficient axial fans in Air Handling Units (AHUs) within a large automotive manufacturing facility to enhance HVAC (heating, ventilation, and air conditioning) performance and reduce energy consumption. Standard AHUs in the facility’s clean rooms and other spaces utilize traditional blower fans, which primarily rely on static pressure, limiting their efficiency. By replacing these with electronically commutated (EC) axial flow fans, which leverage both static …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 11, Issue 3, 2024 · pp. 28–34 Read article
-
Enhancing Building Energy Efficiency Through IoT Integration
Abstract: Building management systems featuring Internet of Things (IoT) technology provide a revolutionary way of maximizing user comfort and improve the use of energy. This study presents a comprehensive analysis of various components within an IoT subsystem utilized in building management, including Smart IoT Gateways, temperature and humidity sensors, lightweight database systems such as Tiny DB, and cloud communication platforms like Twilio. Each component plays a vital role in facilitating real- …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 2, Issue 2, 2024 · pp. 15–23 Read article
-
Taxonomic Studies of Gaudy Grasshoppers (Pyrgomorphinae: Pyrgomorphidae: Orthoptera) in Bihar, India
Abstract: The subfamily Pyrgomorphinae belongs to the family Pyrgomorphidae. Members of this subfamily have brightly colored bodies, owing to which they are commonly known as “gaudy grasshoppers”. It had been an extensive survey for grasshoppers that consisted of diversified and rich flora as well as different ecological conditions, rainfall, humidity, and temperature. Surveys in various seasons in important agricultural areas in different regions of Patna district for the collection of grasshoppers …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 1, 2025 · pp. 53–59 Read article
-
Modeling Dispersed Count Data: Evaluating the Conway–Maxwell–Poisson Regression with COVID-19 Mortality Data
Abstract: Count data are prevalent in diverse fields such as biology, healthcare, psychology, and marketing, characterized by non-negativity and inherent heteroskedasticity, often exhibiting overdispersion or underdispersion. Traditional Poisson regression, which assumes equal mean and variance, is inadequate for such dispersed data. To address this, various generalized linear models (GLMs) and their extensions, including negative binomial (NB) and Conway–Maxwell–Poisson (CMP) regressions, are utilized. This study evaluates the performance of CMP regression compared …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 18–26 Read article
-
IoT and Node MCU based Smart Logistics
Abstract: Logistics plays a key role in global economies, encompassing the planning, implementation, and control of goods movement. Traditional logistics systems often suffer from inefficiencies, such as manual tracking, delays, and lack of real-time visibility, leading to increased costs and environmental waste. The advent of IoT has revolutionized this sector by enabling interconnected devices to gather and argument data seamlessly. At the heart of many IoT applications is Node MCU. It …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 2, 2025 · pp. 38–50 Read article
-
AI/ML-Based Approach to Solar Irradiance Prediction and Energy Suitability
Abstract: In this paper, due to challenges in precisely predicting solar irradiance, which is essential for solar power system optimization, we employed six diverse machine learning (ML) techniques: Linear Regression, Decision Tree, Random Forest, Gradient Boosting methods (including XGBoost), and Neural Networks—to analyze and predict outcomes using a dataset containing meteorological and temporal features. Key variables include wind speed, humidity, and temperature, which significantly influence the model’s predictive capability. Each method …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 3, 2025 · pp. 36–48 Read article
-
IoT-Based Real-Time Weather Monitoring System
Abstract: In the evolving landscape of the Internet of Things (IoT), real-time environmental monitoring has become increasingly vital across various domains, including agriculture, smart cities, and climate research. This study presents the design and implementation of an IoT-based real-time weather monitoring system that utilizes the ESP32 microcontroller in conjunction with AWS cloud services. Temperature and humidity data are captured using onboard sensors and transmitted using the MQTT protocol to AWS IoT …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 3, 2025 · pp. 19–25 Read article
-
Smart Weather Monitoring System Using ESP32 and IoT
Abstract: The increasing unpredictability of climate conditions necessitates an efficient and real-time weather monitoring system. The following paper describes an IoT weather monitoring system using the ESP32 microcontroller, connected to various environmental sensors to gather and process atmospheric information. The system uses a DHT11 sensor to measure temperature and humidity, an MQ135 gas sensor for measuring air quality, and a PM2.5 sensor to measure the level of particulate matter. The ESP32 …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 3, Issue 2, 2025 · pp. 25–36 Read article
-
An Intelligent Neural Networks Approach for Monitoring of Soilless Urban Farms
Abstract: Urban agriculture is increasingly recognized as a sustainable approach to addressing food security challenges in rapidly growing and densely populated cities. Conventional soil-based farming often faces limitations such as space scarcity, excessive water consumption, and environmental degradation. To overcome these challenges, soilless farming techniques such as hydroponics and aeroponics have gained significant attention due to their efficient utilization of space, reduced water requirements, and potential for year-round crop production. However, …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 3, 2025 · pp. 31–37 Read article
-
Assessment of Hygiene Degradation and Expiry Indicators in Household Bedding Products
Abstract: Household bedding products such as pillows, bedsheets, blankets, and mattresses play a crucial role in ensuring comfort, sleep quality, and overall health. However, prolonged use without timely replacement or proper maintenance can result in hygiene degradation, leading to the accumulation of dust, allergens, microorganisms, and chemical wear. This study aims to assess the factors contributing to hygiene decline and to identify reliable indicators of expiry for common bedding items. The …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 33–47 Read article
-
Farmer’s Eye: A Sustainable Crop-Field Monitoring System
Abstract: This paper outlines the creation and implementation of an Internet of Things (IoT)-driven smart agriculture monitoring system. It aims to tackle major issues in agriculture, such as inefficient irrigation, excessive resource use, and a lack of real-time data. The system focuses on the Arduino Uno, which connects to a variety of sensors: soil moisture for measuring substrate conditions, DHT11 for monitoring ambient temperature and humidity, MQ135 for checking air quality, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 19–27 Read article
-
Develop the Design of Sustainable Polymer Materials: Applying Reinforcement Learning, IoT-Enabled Monitoring, and Data-Driven Manufacturing Approaches
Abstract: Sustainable polymer materials development is a must due to resource constraints, environmental concerns, and the demand for designed materials with high performance. When it comes to material optimization, energy utilization, process unpredictability, and lifecycle sustainability, traditional polymer production methods have their challenges. Reinforcement Learning (RL), Internet of Things (IoT) monitoring, and data-driven production are utilized in the design and manufacturing of sustainable polymer materials. It is recommended to use Internet …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
-
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
-
Calf Mortality in the Tropics: Multidimensional Challenges and Implications for Sustainable Dairy Development
Abstract: Calf mortality remains a significant challenge in tropical dairy farming, posing threats to productivity and sustainability. This review explores the multifactorial factors contributing to calf mortality in the tropics, including environmental stress, infectious diseases, nutritional deficiencies, management practices, genetic factors, and social dynamics. Tropical climates, characterized by extreme temperature variations, humidity, and poor shelter, exacerbate stress and compromise calf health. Infectious diseases, such as bacterial, viral, and parasitic infections, coupled …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 14, Issue 3, 2025 · pp. 7–23 Read article
-
Time Series Methods in Meteorology: A Review of Predictive Models and Applications
Abstract: The accurate prediction of time series data holds substantial significance in various fields, enabling informed decision-making and resource optimization. In this study, temperature variations over time are predicted using the Autoregressive Integrated Moving Average (ARIMA) model. Reliable temperature projections are more important now than ever because of climate change and its effects. For time series prediction problems, the ARIMA model—which is well-known for its ability to capture temporal dependencies in …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 35–46 Read article
-
Improving the Mechanical and Interfacial Properties of Bhendi Fiber via Chemical Surface Treatments
Abstract: Because of its primary benefits—moderate strength and stiffness, low cost, and being a renewable, degradable, and ecologically friendly material—natural fibers are believed to have potential use as reinforcing agents in polymer composite materials. Due to their inherent hydrophilicity, they have a tendency to retain moisture, which can impair or soften the fibers' adhesion to the surrounding matrix. This can have an impact on the performance of composite materials used in …
Published in International Journal of Advance in Molecular Engineering · Vol. 3, Issue 1, 2025 · pp. 22–32 Read article
-
Investigation of Mechanical Properties of Banana, Linen and Their Hybrid Reinforced Composite Laminates in Adverse Condition and Analyze Using ML
Abstract: This research investigates the mechanical performance of composite laminates reinforced with banana and linen fibers, focusing on both individual and hybrid fiber combinations. The primary objective is to assess how these natural fiber composites behave under extreme environmental conditions, particularly high humidity and fluctuating temperatures, which are common in aerospace and automotive applications.Key mechanical properties—tensile strength, flexural strength, and impact resistance—are experimentally evaluated to assess the performance and long-term reliability …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 25–31 Read article