Search
29 articles for “waste classification”
-
AI-Powered Solutions for Sustainable Waste Management in Construction Projects
Abstract: The construction industry is a significant contributor to global waste, posing challenges to sustainability and environmental health. This research explores AI-powered solutions for sustainable waste management in construction projects, focusing on optimizing waste reduction, recycling, and resource efficiency. By integrating machine learning algorithms and IoT-enabled sensors, real-time monitoring of waste generation and segregation can be achieved. Predictive analytics and AI-driven decision-making tools are employed to enhance material reuse and minimize …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 1–5 Read article
-
Artificial Intelligence Enhanced Waste Sorting and Classification System for Urban Recycling
Abstract: This study explores the potential of Artificial Intelligence (AI) and Machine Learning (ML) to enhance waste management efficiency within urban environments. Rapid urbanization has resulted in a surge of municipal waste, which current systems often struggle to manage effectively. The proposed AI-enhanced waste sorting and classification system aims to optimize waste collection routes and accurately forecast waste generation trends, thereby reducing operational costs, fuel consumption, and traffic congestion. Additionally, AI-driven …
Published in Current Trends in Signal Processing · Vol. 15, Issue 1, 2025 · pp. 23–32 Read article
-
Smart Ways to Manage Waste with AI and IOT: A Review
Abstract: Rapid urban growth and population have led to exponential growth in municipal solid waste over traditional inefficient waste management systems (collection / segregation / disposal). This paper reviews the convergence of Internet-of- Things (IoT) and artificial intelligence (AI), seen as two potential smart techniques to launch smarter waste management. The research reports important applications for AI and IoT in waste classification, waste collection optimization, waste-to-energy as well as smart bin …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 2, 2025 · pp. 26–31 Read article
-
Lightining Future With Non Degradable Waste
Abstract: This project focuses on addressing the growing problem of non-biodegradable waste, which creates major environmental and management issues. It proposes a smart system for waste segregation and energy production using the Arduino UNO R4 platform. The system classifies waste into three types dry, wet, and metal by using various sensors such as proximity, moisture, infrared, temperature, and weight sensors. After segregation, dry waste is sent to an incineration chamber where …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 2, 2026 Read article
-
Automation of Waste Segregation System by Using IoT
Abstract: The rapid urbanization and the increasing volume of waste generation have made waste management a critical issue globally. Efficient waste segregation at the source is one of the most effective ways to reduce the adverse environmental impact of waste disposal. In this study, we propose an automated waste segregation system based on Internet of Things (IoT) technology, aimed at improving the efficiency of waste management. The system integrates a range …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 2, 2025 · pp. 1–10 Read article
-
Intelligent Waste Management through Automated Sorting for Enhanced Recycling and Sustainability
Abstract: Waste segregation promotes energy production from waste, landfill depletion, recycling, and waste reduction. Recycled materials become contaminated by waste that is disposed of inappropriately. Automated computerized trash sorting is one technique to help reduce contamination, a major problem for the recycling sector. The ability to come up with models or techniques that assist individuals in sorting waste has become crucial to properly disposing of it. Even with the wide variety …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 3, 2024 · pp. 10–16 Read article
-
Garbage Classifier Using Arduino
Abstract: In today's era, where prioritizing sustainable methods of waste disposal is crucial, a pioneering initiative titled "Garbage Collection using Arduino Nano " stands out as a revolutionary approach to refining the traditional, labor-intensive methods of household waste collection. Utilizing the Arduino Nano microcontroller, this project introduces a sophisticated waste management system equipped with diverse sensors and mechanisms. Through the automation of waste collection, this avant-garde system not only enhances efficiency …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 1, 2024 · pp. 18–23 Read article
-
Intelligent Machine for Food Quality and Safety Assessment
Abstract: This paper presents the development of an intelligent fruit and vegetable classification system aimed at reducing food waste and infections caused by spoiled items. Using artificial intelligence and sensor data, our system classifies items into three categories: ripe, unripe, and rotten, and employs servo motors to sort them into respective baskets. The classification process utilizes real-time temperature, humidity, and image data captured by the camera and processed by the laptop. …
Published in International Journal of Industrial and Product Design Engineering · Vol. 2, Issue 1, 2024 · pp. 24–28 Read article
-
A Systematic Study of AI-Powered Robotics for Ocean Cleanup of Plastics
Abstract: The escalating crisis of plastic pollution in marine ecosystems demands innovative solutions beyond conventional cleanup methods. This paper presents a systematic study of artificial intelligence (AI)-powered robotics for ocean plastic cleanup, evaluating their efficiency, technological advancements, and challenges. Autonomous systems, such as AI-driven surface drones (ASVs), underwater robots (autonomous underwater vehicles/remotely operated vehicles [AUVs/ROVs]), and swarm robotics, leverage machine learning (ML) and computer vision to detect, classify, and collect plastic …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 1–10 Read article
-
Polymer-Integrated Smart Biomedical Waste Management System Using AI and Sensor-Based Segregation
Abstract: Biomedical waste, which comes from healthcare facilities like hospitals, clinics, and labs, includes both infectious and non-infectious materials. This can range from sharps and pathological waste to pharmaceutical leftovers and general medical trash. If this waste isn't handled, sorted, and disposed of properly, it can pose serious contamination risks, leading to infections, workplace hazards, environmental damage, and public health emergencies. Traditional biomedical waste management often relies on manual sorting, which …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 172–184 Read article
-
Automation in Waste Management: How AI and Robotics Transforming Waste Sorting and Recycling
Abstract: Waste management is a big issue in the modern world, and it gets worse as urbanisation and industry increase. Hazards to the environment and human health result from traditional waste management practices' inability to effectively classify, recycle, and dispose of garbage. Robotics and artificial intelligence (AI) provide creative ways to improve trash processing, sorting, and collection. This article examines the application of robotics and artificial intelligence (AI) to waste management, …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 1, 2025 · pp. 1–7 Read article
-
A Comprehensive Review of Biodegradable Polymers in Sustainable Packaging Applications
Abstract: The widespread use of synthetic plastics poses significant environmental challenges due to their durability and dependence on non-renewable resources. Biodegradable plastics, derived from renewable biological sources, offer a sustainable alternative that can mitigate waste disposal issues and environmental pollution. This paper examines the factors influencing the suitability of bioplastics for various packaging applications and discusses emerging techniques to enhance their properties. Regarding packaging applications in particular, biodegradable plastics offer a …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 13, Issue 1, 2024 · pp. 28–37 Read article
-
A Futuristics Pyrolysis Technique: Conversion of Waste Plastic Polybags Into Fuel
Abstract: Plastics are high molecular weight materials composed of repeating polymer units and can be classified based on factors like chemical composition, structure, stiffness, application types, and processing methods. A key environmental issue with plastics is their non-biodegradability, causing them to persist in the environment. Pre-consumer plastic waste includes manufacturing defects, rejected items, and excess materials produced during virgin plastic manufacturing. In India, around 15,342 tons of plastic waste are collected …
Published in International Journal of Advance in Molecular Engineering · Vol. 3, Issue 1, 2025 · pp. 1–13 Read article
-
A Low-Cost Multi-Sensor IoT System for Real-Time Segregation of Polymer Waste
Abstract: Segregation of solid waste is a critical aspect of waste management, especially in settings where technical and financial constraints limit the adoption of sophisticated technologies. The proposed low cost, sensor-driven smart waste sorting system combines a variety of sensing technologies with an integrated decision-making system. The system employs an inductive sensor, moisture sensor and capacitive sensor to measure the physical properties of waste items, allowing segregation into metal, wet and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 90–`107 Read article
-
A Review on Smart Touchless Dustbin Systems for Hygienic Waste Management and Smart City Applications
Abstract: Municipal solid waste output has significantly increased as a result of rapid urbanization and population expansion, placing a strain on the infrastructure already in place for waste management. Traditional waste receptacles, requiring manual operation and lacking fill-level monitoring, present public hygiene risks and cause logistical inefficiencies. The emergence of the Internet of Things (IoT) and embedded automation technologies has introduced intelligent solutions to address these challenges. This paper provides a …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 2, 2026 Read article
-
Iot Based Automated Garbage Segragation System And Level Indication To Corporation
Abstract: The issue of maintaining clean cosmopolises is becoming increasingly important as smart cosmopolises emerge. The amount of scrap generated is excessive, and the labor-intensive physical labor required to make it is extremely tiresome. As technology advances in all areas, automated methods might be promoted to assist with the scrap pile. The purpose of the trash segregator is to make it easier to dispose of collected waste. Three lockers—one for wet …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 1, 2024 Read article
-
Design of Scrap Collection and Reward Machine Using Verilog HDL
Abstract: The growing amount of waste produced in urban environments has led to a demand for effective and automated recycling solutions. In this paper, a scrap collection and reward machine is designed and implemented using the Verilog Hardware Description Language (HDL). The proposed system is developed to provide a reliable and automated approach for managing recyclable materials while motivating users through a reward-based mechanism. The design includes scrap input interfaces, a …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 1, 2026 · pp. 37–45 Read article
-
Smart-Waste-Management-System
Abstract: The rapid urbanization and increasing waste generation pose significant challenges to traditional waste management systems, necessitating innovative solutions that integrate economic principles and management strategies. In order to enhance trash transportation and recycling procedures, this paper investigates the deployment of a Smart trash Management System that makes use of Internet of Things (IoT) components and machine learning algorithms. By applying economic principles such as cost-benefit analysis and resource allocation, and …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 18–27 Read article
-
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
-
A Data-Driven Analysis of Machine Learning Classification Models for Reliable Crop Yield Prediction
Abstract: The adoption of ML technologies in agriculture is reshaping farming practices, empowering producers to make informed, data-oriented decisions that improve yields, sustainability, and long-term resilience. In mango cultivation, ML analyzes data from weather, soil, and pests to optimize irrigation, fertilization, and pest control. Predictive analytics help forecast ideal farming practices, minimizing resource wastage and improving yield. Real-time monitoring and image-based disease detection allow timely interventions to maintain plant health and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 12–17 Read article