Content uploaded by Jenifer Prarthana
Author content
All content in this area was uploaded by Jenifer Prarthana on May 25, 2018
Content may be subject to copyright.
A preview of the PDF is not available
IOT based smart garbage alert system using Arduino UNO
Figures
Figures - uploaded by Jenifer Prarthana
Author content
All figure content in this area was uploaded by Jenifer Prarthana
Content may be subject to copyright.
... This study aims to close this gap and offer empirical insights on the application of IoT and AI with Android applications for waste management enhancement in the RCC by completing a thorough data-driven analysis. Furthermore, real-time monitoring, data-driven decisionmaking, and proactive intervention methods are made possible by the combination of IoT and AI technologies, which has the potential to completely transform waste management procedures (Malapur and Pattanshetti 2017;Kumar et al. 2016). Municipal authorities can remotely monitor waste collection, optimize route planning, and discover areas for efficiency improvement by deploying IoT sensors, smart devices, and AI algorithms (Aazam et al. 2016;Wijaya et al. 2017). ...
... Furthermore, the incorporation of IoT technology into waste management systems is, in this context, a promising option for tackling the issues associated with waste management. Numerous research studies (Table 1) have looked into the potential of IoT solutions for effective and sustainable waste management (Imteaj et al. 2015;Malapur and Pattanshetti 2017;Nirde et al. 2017;Kumar et al. 2017;Kumar et al. 2016;Wijaya et al. 2017;Aazam et al. 2016;Poddar et al. 2017;Mdukaza et al. 2018). These options include everything from Android-based applications that educate local administrations and involve volunteers to IoT-based waste bins equipped with sensors and cloud-based systems that optimize waste collection routes. ...
... The efficacy of the approach was impeded by certain restrictions, including the absence of local government involvement and the omission of fill level percentages, despite these developments. The absence of field-level implementation and little government involvement caused obstacles for Kumar et al. (2016), who developed an intelligent garbage alarm system and an Android application for measuring garbage filling levels. Poddar et al. (2017) presented an integrated waste management system that used a network of sensors for road optimization and real-time data transfer; however, there were limitations due to a lack of knowledge on how the communication system worked. ...
This study addresses the pressing challenge of inefficient waste management practices within the Rajshahi City Corporation (RCC), Bangladesh. Despite rapid urbanization and escalating waste generation rates, RCC struggles with diverse waste disposal practices, limited supervision, irregular waste collection schedules, and inadequate disposal infrastructure. In this context, this study examines the possible improvements that could be made by combining the Internet of Things (IoT), artificial intelligence (AI), and Android application to improve waste management methods in the RCC. The study’s foundation is a vast amount of information gathered from residents, with particular attention paid to waste disposal methods, the role of the local government, the frequency of waste collection, and public attitudes toward waste management. The results point to a complicated waste management environment with a range of waste disposal practices, little supervision, irregular waste collection, and insufficient disposal methods. The importance of RCC in waste management is emphasized, highlighting the need for proactive measures including effective monitoring, constant waste collection, and routine drain cleaning. Additionally, it is suggested that combining IoT, AI, and Android technology is a possible way to improve waste management procedures. These technologies have the potential to increase productivity, lessen their negative effects on the environment, and produce cleaner, more sustainable urban environments.
... As a solution to these problems, the use of the Internet of Things (IoT) [13], [14] is proposed for the construction of an automated container, which will also make use of a photovoltaic system, making it a totally ecological proposal. ...
The process and organization of garbage collection in metropolitan cities is inefficient for the current requirements. Which has brought problems such as pollution, crime and bad appearance and consequently a tendency to develop a bad habit by the population. This article provides two alternative solutions for the automation of the garbage container by means of the NodeMCU and Raspberry Pi board with the help of ultrasound sensors, photovoltaic system, and instant messaging (Telegram). As a result, it allowed the municipality to know when the right time is to pick up the garbage in the residential. The SUS instrument was used as validation, which gave us a result of 80% and 75% in terms of usability and feasibility.
Smart farming, precision agriculture and Agriculture 4.0 all involve the integration of
advanced technologies into existing farming architecture. The goal is to increase production efficiency and product quality, as well as reducing overall costs. To this end, the inclusion of Smart technologies into Irish agriculture has been inevitable with increased pressure being placed on farming practices to remain profitable, as well as adhere to environmental regulation.
The global Smart Agriculture Solution Market is said to have stood at around US $10.2 Billion in 2016, and is projected to reach a valuation of US $38.1 Billion by the end of 2024. The growing adoption of advanced technology in farming, from agricultural drones, precision seeding systems, auto-steering, automatic feeding systems and fruit-picking robots (amongst others), have all incentivised traditional agri-companies to invest in smart agriculture technology. The deployment of advanced agri-tech has the potential to allow for an increased focus on non-profitable tasks, such as farm maintenance and environmental practices. The reduction of heavy labour and tedious tasks can also lead to improvements in the health and work/life balance of farming staff.
Microorganisms are to blame for contaminating water resources, toxic substances or industrial waste. It can be found in rivers, aquifers and brackish bodies of water, as well as in rain water, dew, salt water, snow and arctic pack oceans. Bio sensing techniques based on cell growth use the full range of existing cytotoxic response to external inputs, via a to indicate the toxicity of aquatic targets. These bio-detection techniques can provide an effective means of indicating the water’s toxicity to the safety of humans and the environment and health of marine organisms. The substantial increase in the level of pollutants entering fresh water requires rapid and accurate methods to monitoring the aqueous environment and detection of water aquatic aquatic poisoning. In this project, we review the recent evolution of current water biosensing techniques based on cell culture quality assessment, explain their major properties and capabilities, and the prospects for development in the coming years.
Presently, the World Bank has designated 50 countries as the Least Developed Countries (LDCs), out of which 8 countries are from Asia -Afghanistan, Bangladesh, Bhutan, Cambodia, Laos PDR, Maldives, Myanmar and Nepal. This paper highlights the present status of municipal solid waste management in these LDACs including legal, social and financial issues. It is also envisaged to expose on the solid waste generation rate, its composition, collection systems, and areas of responsibilities (public / private sector), transfer and treatment sites and waste disposal systems used. Furthermore, the necessity of the involvement of NGOs, CBOs and private sector for the better understanding and sustainability of the related projects is illustrated. Finally, some successful project stories are discussed which may be good examples for other least developed countries with similar climatic condition and waste composition.
Half TitleTitleCopyrightDedicationContentsPrefaceAcknowledgmentsStaff AcknowledgmentsAbout the Authors
This paper deals with the solid waste monitoring and management system using radio frequency identification (RFID) associate with intelligent systems. The system consists of RFID system, mobile communication like (Global system for mobile) GSM and geographical information system (GIS) for tracking vehicle position. The proposed system would be able to monitor the solid waste collection process and management the overall collection process. It would provide in time solid waste collection, tracking the vehicle position through the GIS database and also overcome the disadvantages such as usage of minimum route, low fuel cost, clean environment and available vehicle. The technologies that would be used in the proposed system are good enough to ensure the practical and perfect for solid waste collection process monitoring and management for green environment.
Towards a clean environment: A proposal on sustainable and integrated solid waste management system for university Kebangsaan Malaysia
- A Flora
Flora, A. (2009). "Towards a clean
environment: A proposal on sustainable and
integrated solid waste management system for
university Kebangsaan Malaysia". Report from
Alam Flora.
RFID based E-monitoring System for Municipal Solid Waste Management
- Liakot Md
- Alam Ali
- Md Mahbubul