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1169 articles for “fields”
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A Multi-Criteria Analysis Based on Various Factors for Evaluation of Organic-Mineral Fertilizer Components
Abstract: This study explores the potential of organic-mineral fertilizers as sustainable alternatives to synthetic options, evaluating ten such fertilizers, including coffee grounds, poultry eggshells, bone meal, Fish Emulsion, compost, cow manure, wood ash, biochar, seaweed extract, and green manure. A multi-criteria analysis assessed factors like effectiveness, cost, environmental impact, availability, and waste potential. Coffee grounds and poultry eggshells performed best due to their high nutrient content and positive soil effects, with …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 32–44 Read article
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Farmer’s Pal
Abstract: Precision agriculture, characterized by data-driven decision-making, has transformed contemporary farming practices. To increase agricultural sustainability and efficiency, this abstract investigates the combination of sensor monitoring, machine learning, and picture processing. A network of sensors continuously collects vital environmental data, including temperature, humidity, rainfall, sunshine, soil moisture, and conductivity, for precision agriculture. By providing real-time insights, these sensors enable farmers to make informed choices about pest control, fertilization, and irrigation. This …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 19–31 Read article
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U-Net Based Approach for Automated Brain Tumor Classification
Abstract: Brain tumor detection and identification play vital roles in diagnostic procedures in the field of medicine, with the conventional analysis of MRI images requiring a lot of time and also subject to variability. The proposed study involves the use of a CNN-U-Net based approach for brain tumor detection and identification automatically. The study uses a database of 3,064 contrast-enhanced T1-weighted MRI images from 233 patients with the tumors of meningioma, …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
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VLSI Based Traffic Light Controller
Abstract: This study details the development and realization of an advanced traffic light control system utilizing VHDL (Very High-Speed Integrated Circuit Hardware Description Language) in conjunction with FPGA (Field Programmable Gate Array) technology. The system is designed to regulate a four-way intersection, with one primary high-traffic road intersecting with a less congested side road. To enhance traffic efficiency and minimize idle times, the model incorporates intelligent features such as a vehicle …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 2, 2025 · pp. 40–47 Read article
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An Examination of Physical and Chemical Attributes of soil in the Vicinity of Industrial and Agricultural Zone in Jaipur
Abstract: This research paper examine the complex relationship among urbanization ,agriculture, and soil conservation in Jaipur , Rajasthan, with a specific focus on the Industrial Area. Utilizing a multidisciplinary approach, the study comprehensively examines soil health through extensive field studies and meticulous soil analysis. Central to the investigation is the evaluation of industrial activities' impact on soil quality, aiming to highlight challenges and propose integrated strategies for sustainable soil management. The …
Published in International Journal of Pollution: Prevention & Control · Vol. 3, Issue 1, 2025 · pp. 47–52 Read article
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A Combined ECG and PPG Signal Powered Artificial Intelligence-Based Prediction Model for Stroke
Abstract: Stroke is one of the most common causes of morbidity and mortality around the world, and emphasis on prevention and early detection strategies cannot be overstated. This review aims to integrate techniques of artificial intelligence with electrocardiogram and photoplethysmogram signals to enhance stroke prediction and monitoring of cardiovascular health. All in all, the application of artificial intelligence that incorporates machine learning, deep learning, or hybrid models gives robust tools toward …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 18–26 Read article
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Sustainable Computing: Pioneering Energy-Efficient Innovations for a Greener Digital Future
Abstract: Sustainable computing is an emerging field that focuses on developing environmentally responsible and energy-efficient computing technologies. As the global demand for computing power continues to rise, so does the environmental impact of data centers, hardware manufacturing, and energy consumption.This article explores the key principles of sustainable computing, including energy-efficient hardware design, green data centers, and the role of software optimization in reducing energy consumption. We discuss the importance of adopting …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 15, Issue 2, 2025 · pp. 32–45 Read article
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Metal Nanoparticle: Synthesis, Properties, and Their Dermatological and Cosmetic Impacts
Abstract: Nanoparticles (NPs) are materials with dimensions under 100 nm and various shapes, such as spheres and rods. Their advancement offers transformative potential in medical and healthcare fields. The increased application of NPs across molecular biology, chemistry, medicine, and material science reflects their growing importance. Due to their large surface area, NPs enhance substance delivery through the skin, benefiting cosmetic applications by improving penetration, efficacy, and targeted delivery of active ingredients.With …
Published in Recent Trends in Cosmetics · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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Moringa Oleifera: A Review on Nutritional and Therapeutic values of Miracle Tree
Abstract: Nowadays, there has been significant change in socioeconomic status, prompting individuals to be increasingly concerned about their lifestyle and health. They understand the negative consequences of manmade items. They express interest in natural items as a result. Over time, the usage of natural products derived from plants that have fewer adverse effects has grown in popularity. There is vast potential for natural products that may provide health benefits beyond conventional …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 2, 2025 · pp. 48–54 Read article
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Effects of Tendon Gliding Exercises on the Speed of Handwriting Among Female UG Students: Pilot Study
Abstract: Background: Handwriting is an intricate function which requires the combination of fine motor skills, visual and motor coordination abilities, and concentration. Handwriting involves two main movements: horizontal wrist motion and vertical finger movements, along with a rightward translation of the entire arm. Handwriting speed is an important factor in a student’s academic performance, particularly in fields such as statistics. The strength and flexibility of hand muscles can significantly influence writing …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
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Automatic Seed Planting Using a Controller
Abstract: Agriculture is a critical sector that requires continuous innovation to meet the increasing global demand for food. Traditional seed planting methods often involve labor-intensive processes that are time-consuming and prone to inefficiencies. This project presents an automatic seed planting machine that integrates ESP32 microcontroller technology with various sensors and actuators to enhance the precision, speed, and efficiency of seed planting. The system is designed to automate seed dispensing, soil digging, …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 2, 2025 · pp. 1–8 Read article
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Assessing of Forest Structure Using Earth Observation Data: A Case Study in Munessa Forest, Oromia Region, Ethiopia
Abstract: Understanding forest structure is crucial for estimating carbon emissions associated with forests, assessing forest degradation, and evaluating the success of forest restoration efforts. However, forest structure quantification is limited to the area of interest without considering the whole forest coverage. Forest structure may be easily assessed over a wide area using data from remote sensing. Thus, by combining ground observation with satellite-based light detection and ranging (LiDAR) and Sentinel 2 …
Published in International Journal of Land · Vol. 2, Issue 1, 2025 · pp. 28–37 Read article
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Self-Healing Polymer Nanocomposites: A Comprehensive Review of Design Strategies, Mechanisms, and Emerging Applications
Abstract: Self-healing polymer nanocomposites (SHPNs) are a new class of materials that can autonomously repair themselves to prolong their lifetime and improve their application performance. Herein, we provide a comprehensive overview of the design strategies, healing mechanisms, and emerging applications of SHPNs. Incorporating nanofillers (nanoparticles, nanofibers, and/or nanotubes) into polymer matrices leads to requisite functionalization that significantly enhances mechanical properties and is essential in self-healable products including improved cross-linking, high dispersion, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 281–293 Read article
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Polymer Chemistry in Medical Devices: A Focus on Injection Syringes
Abstract: Polymers play a crucial role in the medical field, particularly in the development of injection syringes. The use of polymers in syringe manufacturing provides several advantages, including biocompatibility, durability, cost-effectiveness, and ease of mass production. Compared to traditional glass syringes, polymer-based syringes offer enhanced safety by reducing breakability, improving lightweight handling, and enabling precise engineering of syringe components. Various types of polymers are utilized in syringe production, each chosen based …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 436–442 Read article
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Comparative Study of Machine Learning Algorithms for Detection of Breast Cancer
Abstract: Breast cancer continues to be the most commonly diagnosed cancer among women, with more than 2.3 million new cases diagnosed yearly worldwide. It is stated as the leading cause of cancer-related deaths. Therefore, this emphasizes the dire necessity for early diagnosis with a view to improving survival. Early diagnosis elevates the effectiveness of prediction and treatment. This research carries out a structured and analytical evaluation of various machine learning algorithms, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 113–129 Read article
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Role of Generative AI in Redefining Data Analytics
Abstract: The rapid evolution of data-driven technologies has introduced both significant challenges and promising opportunities within the field of data analytics. Among the most impactful advancements is Generative Artificial Intelligence (Generative AI), a groundbreaking subset of AI that is reshaping how data is interpreted, generated, and utilized. Unlike traditional analytical tools that rely solely on existing data patterns, generative AI possesses the capability to create synthetic data, simulate complex scenarios, and …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 01–07 Read article
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IoT Based Air and Sound Pollution Monitoring System
Abstract: One of the most important and significant elements influencing human lives and health, as well as the health of living things and the natural or constructed environment, is environmental pollution. The low- cost environmental pollution monitoring system described in this study will be used to measure temperature, dust, sound pollution, and highly toxic gases such as CO2, CO, and CH4. It was created based on user needs to identify and …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 2, 2025 · pp. 6–12 Read article
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Preparation, Spectral Characterization and Bio-Evaluation of Five and Seven Membered Ring Derivatives
Abstract: Many cyclic compounds are made of heterogeneous atoms that are good electron donors to be the basic nucleus in the basic structure of chemical drugs, so most drugs and vitamins take cyclic compounds as a basic material for the manufacture of drugs, and without a doubt these drugs are distinguished by their high ability to make many biologically active derivatives in the fields of biochemistry and clinical medicine. Universal studies …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 2, 2025 · pp. 96–109 Read article
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Advances in Analytical Chemistry Research Methodology: Trends and Applications
Abstract: Analytical chemistry is critical to scientific study because it allows for the accurate identification, measurement, and characterization of chemical compounds. Recent advances in methodology have improved accuracy, sensitivity, and efficiency, with techniques such as High-Performance Liquid Chromatography (HPLC), Gas Chromatography (GC), Mass Spectrometry (MS), and Nuclear Magnetic Resonance (NMR) spectroscopy transforming analytical procedures. The combination of Artificial Intelligence (AI) and Machine Learning (ML) has enhanced data processing, pattern recognition, and …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 2, 2025 · pp. 10–18 Read article
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Comparative Review of Innovations in Self-Compacting Concrete (SCC) Technologies
Abstract: Self-compacting concrete (SCC) is a revolutionary material in contemporary construction, with better workability and lower labor requirements without any sacrifice in strength or durability. The latest advances have been in terms of furthering its environmental and performance attributes by using different materials and methods. One of them is substituting ordinary Portland cement with high-volume fly ash and calcined calcium carbonate (BCC), cutting CO₂ emissions by as much as possible while …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 3, 2025 · pp. 99–103 Read article