Artificial intelligence applications for sustainable solid waste management practices in Australia: A systematic review

Andeobu, Lynda; Wibowo, Santoso; Grandhi, Srimannarayana

doi:10.1016/j.scitotenv.2022.155389

Cited by 97 publications

(28 citation statements)

References 104 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Artificial Intelligence (AI) has been seen as a powerful technology increasingly attaining popularity and application in many sectors, including MSW management [ 131 ]. The emerging technologies have been applied in many areas, including waste generation, bin level monitoring (Internet of Things), waste collection and vehicle route, waste sorting, waste treatment, and waste management planning [ 132 ]. Incorporating AI in MSW infrastructure has been successful in many developed countries in Europe, Asia, and America to increase the recycling rate, minimize labor, reduce cost, maximize efficiency, and improve management methods [ 131 , 132 ].…”

Section: Challenges and Prioritiesmentioning

confidence: 99%

“…The emerging technologies have been applied in many areas, including waste generation, bin level monitoring (Internet of Things), waste collection and vehicle route, waste sorting, waste treatment, and waste management planning [ 132 ]. Incorporating AI in MSW infrastructure has been successful in many developed countries in Europe, Asia, and America to increase the recycling rate, minimize labor, reduce cost, maximize efficiency, and improve management methods [ 131 , 132 ]. Hence, shifting conventional MSW management methods to AI-based systems should be an option for Cambodia to foster its circular economy strategy in the industry 4.0 era.…”

Section: Challenges and Prioritiesmentioning

confidence: 99%

See 1 more Smart Citation

Challenges and Priorities of Municipal Solid Waste Management in Cambodia

Pheakdey

Quan

Khanh

et al. 2022

IJERPH

View full text Add to dashboard Cite

Municipal solid waste (MSW) management is one of the utmost challenges for Cambodia’s city and district centers. The unsound management of MSW has detrimentally affected the environment and human health. In the present study, an attempt has been made to provide a comprehensive insight into the generation and characteristics, policies and legislation frameworks, management arrangement, collection, treatment, and disposal of MSW. The experience of developed and developing countries and the challenges and priorities of MSW management in Cambodia are also highlighted. In Cambodia, about 4.78 million tons of MSW were generated in 2020, with a 0.78 kg/capita/day generation rate. Only 86% of cities and districts have access to MSW collection services. The current practice of MSW management is reliance on landfill (44%). There are 164 landfills operating countrywide, receiving about 5749 tons of MSW per day. Recycling, incineration, and composting share 4%, 4%, and 2% of MSW generation, respectively. In 2021, the total revenue that was recovered from recyclables was USD 56M. The study concludes several major challenges and proposes valuable suggestions, which may be beneficial for the improvement of the current system to support the sustainable management of MSW in Cambodia.

show abstract

Section: Challenges and Prioritiesmentioning

confidence: 99%

Section: Challenges and Prioritiesmentioning

confidence: 99%

Challenges and Priorities of Municipal Solid Waste Management in Cambodia

Pheakdey

Quan

Khanh

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…Several developed countries, including Austria, Germany, New Zealand, the USA, the UK, Japan, Singapore, Switzerland, South Korea, and Canada, have already begun to adopt artificial intelligence technologies to maximize resource utilization, efficiency, and recycling opportunities throughout the solid waste management cycle (Soni et al 2019 ). Artificial intelligence technologies, particularly for sorting and treating solid waste, are increasingly critical in waste management (Andeobu et al 2022 ; Wilts et al 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence for waste management in smart cities: a review

et al. 2023

View full text Add to dashboard Cite

The rising amount of waste generated worldwide is inducing issues of pollution, waste management, and recycling, calling for new strategies to improve the waste ecosystem, such as the use of artificial intelligence. Here, we review the application of artificial intelligence in waste-to-energy, smart bins, waste-sorting robots, waste generation models, waste monitoring and tracking, plastic pyrolysis, distinguishing fossil and modern materials, logistics, disposal, illegal dumping, resource recovery, smart cities, process efficiency, cost savings, and improving public health. Using artificial intelligence in waste logistics can reduce transportation distance by up to 36.8%, cost savings by up to 13.35%, and time savings by up to 28.22%. Artificial intelligence allows for identifying and sorting waste with an accuracy ranging from 72.8 to 99.95%. Artificial intelligence combined with chemical analysis improves waste pyrolysis, carbon emission estimation, and energy conversion. We also explain how efficiency can be increased and costs can be reduced by artificial intelligence in waste management systems for smart cities.

show abstract

“…The generation of solid waste, encompassing plastic, aluminum, and glass is becoming increasingly prevalent in modern society and is rapidly becoming a ubiquitous aspect of daily life (Deus et al 2020 ). The proliferation of plastic waste, with its numerous applications and forms, constitutes a global crisis with far-reaching implications (Andeobu et al 2022 ). Studies have shown that there are more than 5 trillion pieces of plastic waste in the world’s oceans, causing harm to marine wildlife and disrupting delicate ocean ecosystems.…”

Section: Introductionmentioning

confidence: 99%

Recent Advances in Extended Producer Responsibility Initiatives for Plastic Waste Management in Germany and UK

et al. 2023

View full text Add to dashboard Cite

Extended producer responsibility (EPR) initiatives have shown success in enhancing the independent collection of plastic waste, but the existing recycling industry framework poses challenges to achieving optimal recyclability levels. For addressing this issue, various legislative strategies, including non-profit EPR, door-to-door collection systems, and deposit refund schemes (DRS), have been implemented in some countries such as the UK and Germany. As plastic waste management responsibility is shared between consumers and producers in Europe, with consumers generating 40% of plastic waste and producers being responsible for the remaining 60%, this review examines the impact of EPR and DRS programs on consumer and producer behaviors. The article also explores the potential for circularity and sustainability of recycling technologies, including their challenges and limitations. The significance of this study lies in its examination of the impact of EPR and DRS programs on consumer and producer behaviors, providing insight into sustainable practices that promote waste minimization and foster the adoption of recycling methods. Ultimately, the review recommends quick action in four crucial areas, including standardization, infrastructure investment, partnership models, and the production of higher-value recycled materials, all of which require supply chain collaboration.

show abstract

Artificial intelligence applications for sustainable solid waste management practices in Australia: A systematic review

Cited by 97 publications

References 104 publications

Challenges and Priorities of Municipal Solid Waste Management in Cambodia

Challenges and Priorities of Municipal Solid Waste Management in Cambodia

Artificial intelligence for waste management in smart cities: a review

Recent Advances in Extended Producer Responsibility Initiatives for Plastic Waste Management in Germany and UK

Contact Info

Product

Resources

About