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1193 articles for “agriculture chat bot.csv dataset”
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Gradient Boosted Regression Tree Approach to Predicting Toxic Interactions on X and YouTube
Abstract: In the digital age, social media platforms play a vital role in facilitating user engagement, encompassing both positive interactions and avenues for negative, often harmful behaviors. Recognizing and addressing toxic exchanges is paramount to nurturing healthy online communities and preserving users’ well-being. This study introduces a novel method for identifying toxic interactions by utilizing Gradient Boosting Regression Trees (GBRT) algorithm, a machine learning approach renowned for its exceptional accuracy and …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 3, 2025 · pp. 7–14 Read article
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Disease Prediction Using Ensemble Learning Models: A Comprehensive Approach
Abstract: In recent years, ensemble learning techniques have become pivotal in advancing predictive analytics within healthcare, particularly for early disease detection. The inherent variability and complexity of medical data, often characterized by high dimensionality, class imbalance, and noise, make it challenging for standalone classifiers to maintain high predictive accuracy. Ensemble learning, by integrating multiple models through bagging, boosting, or stacking, offers a more robust and generalizable approach. This study explores the …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 26–33 Read article
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Generative AI for VR: Creating Physically Realistic Models
Abstract: Virtual Reality has revolutionized the traditional learning system by creating and interactive and engaging environment. However, its ability to show precise real-world experiences is limited due to lack of physical realism. This study investigates the potential of Generative Adversarial Network (GAN) in creating physically realistic 3D models. Proposed system incorporates deep learning techniques along with physics-based constraints to enhance model’s accuracy and usability. To achieve this, experiments were conducted on …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 3, 2025 · pp. 14–22 Read article
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A Study on Feature Subset Selection in Feature Streams of Dynamic Data
Abstract: As the use of real-time data with high dimensions continues to expand across various domains, selecting important features from the dataset is a key step to improve the predictive accuracy and time taken to build a machine learning model. In datasets where not all features are available at the same time and we are unaware of the total number of features, and features arrive at different time stamps, for example, …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 26–32 Read article
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Hydrothermal Carbonization (HTC) Technology for Tire Pyrolysis: A Comprehensive Review
Abstract: Hydrothermal Carbonization (HTC) is an innovative technology that is mimics of natural coal formation processes to convert wet biomass into valuable carbon-rich materials known as "biochar." This process involves subjecting organic matter, like agricultural waste, food residues, or sewage sludge, under high-pressure & moderate-temperature conditions (around 180-250°C & 2-4 MPa) in presence of water. HTC technology accelerates process of the dehydration & carbonization of biomass, thus producing a solid product …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 16–21 Read article
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Integrated Spatial and Statistical Assessment of Groundwater Quality in Rupbas Tehsil of Bharatpur, Rajasthan: A WQI-based Approach
Abstract: This study presents a comprehensive evaluation of groundwater quality in Rupbas Tehsil of Bharatpur District, Rajasthan, through the application of the Water Quality Index (WQI) and hydrogeochemical techniques. A total of 32 groundwater samples, 16 collected during the pre-monsoon and 16 during the post-monsoon seasons, were analyzed for key physicochemical parameters including pH, electrical conductivity (EC), total dissolved solids (TDS), dissolved oxygen (DO), oxidation-reduction potential (ORP), total hardness (TH), total …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 3, 2025 · pp. 84–93 Read article
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Hydroponic Farming Monitoring System - Automated System to Monitor and Control Nutrient and pH Levels
Abstract: With growing urbanization and limited agricultural land, sustainable agriculture is becoming a necessity. This project introduces a smart, space-saving, and automated hydroponic farming system based on IoT (Internet of Things) technology. The proposed system employs an ESP8266 NodeMCU microcontroller with sensors like a pH sensor and an ultrasonic sensor to track critical plant growth parameters like nutrient solution pH and water level. A relay module controls a water pump for …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 11–16 Read article
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Integrative Network Biology Analysis of GSE6011 Uncovers Molecular Signatures in Duchenne Muscular Dystrophy
Abstract: Duchenne muscular dystrophy (DMD) is a rare, severe neuromuscular disorder demonstrated by progressive skeletal muscle deterioration and premature mortality. Despite advances in supportive care, no definitive cure exists, highlighting the need to explore novel molecular targets. The current study aimed to uncover key dysregulated genes and molecular pathways in DMD through a dataset-specific network biology approach. Publicly available microarray data (GSE6011) from DMD quadriceps muscle biopsies of 22 patients and …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 36–48 Read article
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A Comparative Review on Abelmoschus palianus and Barleria mysorensis: Phytochemical Constituents, Pharmacological Potentials, and Ethnobotanical Significance
Abstract: Medicinal plants have long served as invaluable resources for treating human ailments, with countless species still awaiting scientific exploration and validation. Abelmoschus palianus and Barleria mysorensis are two such botanicals with rich ethnomedicinal heritage but limited pharmacological characterization. This review presents a detailed comparative analysis of these two species, examining their botanical descriptions, geographic distribution, traditional applications, phytochemical constituents, pharmacological properties, toxicological profiles, and therapeutic potential. Abelmoschus palianus, native to …
Published in Research & Reviews : Journal of Herbal Science · Vol. 14, Issue 3, 2025 · pp. 7–13 Read article
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Emerging Role of Drone Technologies in Environmental Research: Trends, Applications, and Future Directions
Abstract: Unmanned aerial vehicles (UAVs), commonly called drones, have rapidly transformed environmental research and management over the past decade. Their flexibility, improving sensor payloads, and ability to collect high-resolution spatial and temporal data make them powerful tools across disciplines — from biodiversity monitoring and precision agriculture to water quality assessment and disaster response. UAVs bridge the gap between ground-based surveys and satellite remote sensing by offering near-real-time, fine-scale data acquisition that …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 34–42 Read article
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Improving The Accuracy of Medical Diagonosis Detection Using Machine Learning
Abstract: While accurate and timely medical diagnosis is a fundamental aspect of effective health care delivery, traditional methods have not been able to overcome major hurdles such as inefficiencies in data analysis with Gi Human Error as well as limitations in scalability. The “Improved Accuracy of Medical Diagnosis Detection Using Machine Learning” project seamlessly integrates advanced machine learning (M L) technologies with efficient preprocessing and feature selection techniques to outperform all …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 1–8 Read article
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Encoder-Decoder Based Fine-Tuned Model for Code Doubt Solver
Abstract: As we are growing in technology, more technologically skilled persons are needed in industry. They all often rely on programming in their daily work, and when some doubts arise, they seek help from teachers to LLMs like GPT to Deepseek. However, when errors arise, then comes hectic part to troubleshoot and resolve the error. Usually, people seek help from some LLMs like GPT, or Deepseek for the solution; they give …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 35–42 Read article
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DDoS Detection Using Cascade Correlation for Improving Network Resources in Cloud Environment
Abstract: Intrusion detection is critical for protecting network security from emerging cyber threats. This study describes a unique intrusion detection system (IDS) based on the Random Forest algorithm. Random Forests are used as an effective classifier to identify patterns linked with malevolent behaviour. This technique uses Random Forests to improve the accuracy and efficiency of intrusion detection systems. The suggested methodology's value is shown by its performance on the benchmark KDD …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 17–22 Read article
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Comparative Effectiveness of Various Fungicides in Managing Mustard Clubroot Disease Caused by Plasmodiophora Brassicae
Abstract: The experiment was accomplished to find out which fungicide or fungicides work best against clubroot disease and how well they protect mustard plants. It also looked at how these fungicides affect the yield and other important growth factors of mustard. The study took place in the research field and lab of the Plant Pathology Division at the Regional Agricultural Research Station (RARS), Bangladesh Agricultural Research Institute (BARI), located in Jamalpur-2000, …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 1–11 Read article
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Electronic Resources of University Libraries: AI-Driven Management and Optimization
Abstract: In order to maximize accessibility, utilization, and efficiency, university libraries’ growing reliance on electronic resources (ER) has prompted the creation of sophisticated management techniques. The difficulty of handling enormous volumes of data has increased as educational institutions move from conventional physical collections to massive digital repositories. A key instrument in revolutionizing library operations, artificial intelligence (AI) offers creative ways to improve retrieval methods, manage digital resources more effectively, and customize …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 3, 2025 · pp. 8–15 Read article
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Struggles Against Displacement: A Case Study of Nilgiri Tribes TODA
Abstract: This research explores the displacement faced by the Nilgiri tribes of southern India, examining both historical and contemporary contexts. Historically, the Nilgiri tribes, including the Todas, Kotas, and Kurumbas, have lived in the Nilgiri Hills for centuries, maintaining distinct cultural practices and agricultural traditions. However, the onset of British colonial rule in the 19th century marked the beginning of their displacement, as the British established tea plantations, appropriating tribal lands. …
Published in International Journal of Rural and Regional Development · Vol. 3, Issue 2, 2025 · pp. 39–49 Read article
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Determinants of the Adoption of chemical Fertilizer in Kaffa, Bench Sheko and Sheka zones of Southwest Ethiopia
Abstract: Agriculture is the backbone of the Ethiopian economy, but the production system was backward, and the adoption of agricultural technology was low. This study aims to identify and determine factors affecting smallholder farmers' adoption of chemical fertilizer. Bita, Chena, Andiracha, and Sheyi Bench district of the southwest Ethiopia region was selected for this study. Household individual survey interview, key informant interview, and focus group discussion were the primary data collection …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 1–12 Read article
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Hybrid Epoxy Composites with Areca and Abaca Fibers: Effect of Nano-SiO₂ on Mechanical Properties
Abstract: This study explores the fabrication and mechanical evaluation of sustainable epoxy-based hybrid composites reinforced with Areca fiber (ARF), Abaca fiber (ABF), and nano-silica (SiO₂). The composites were made using a hand layup process, maked five variants (S1–S5) with ARF content ranging from 0–40 wt% and nano-silica content from 0–8 wt%, while maintaining ABF as the primary reinforcement. Mechanical performance was assessed through tensile strength (TS), flexural strength (FS), and impact …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 606–613 Read article
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Integrating Livestock for Enhancing Sustainability of Soil, Water and Agroecosystem: Implications from a One Health Perspective
Abstract: Livestock systems play a pivotal role in sustaining environmental health, enhancing ecosystem services, and supporting agricultural productivity. Well-managed integration of livestock into agroecosystems contributes to soil fertility through organic matter deposition, microbial stimulation, and nutrient cycling, while improving soil structure and long-term productivity. Grazing and pasture management regulate water infiltration, retention, and hydrological balance, mitigating soil erosion and enhancing water-use efficiency. Livestock also promote biodiversity by maintaining habitat heterogeneity, facilitating …
Published in International Journal of Sustainability · Vol. 3, Issue 1, 2026 · pp. 1–11 Read article
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Assessing the Effectiveness of New Fungicides Against Potato Late Blight Disease (Phytophthora Infestans)
Abstract: An experiment was conducted in the field of the Plant Pathology Division, Regional Agricultural Research Station (RARS), Bangladesh Agricultural Research Institute (BARI), Jamalpur, Bangladesh during the rabi season of 2024–2025 to determine the appropriate chemical fungicide for controlling late blight disease of potato. The evaluation included twenty-five new fungicides approved by the Pesticide Technical Advisory Committee (PTAC), Bangladesh, along with a standard control (Ridomil Gold MZ 68 WG) and an …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 28–38 Read article