Utilizing Artificial Intelligence and Machine Learning to FacilitateAchieving Carbon Neutrality
DOI:
https://doi.org/10.61173/es163b45Keywords:
Artificial intelligence, Waste classification, Machine learning, Carbon neutralityAbstract
With global waste production rising, efficient waste management practices are crucial for environmental sustainability.
Artificial Intelligence (AI) offers a promising solution, particularly in waste classification. By automating waste
classification, AI can reduce the time and cost associated with traditional manual sorting while improving accuracy
and reducing carbon emissions. This paper provides an overview of the potential of AI in waste classification and
management, including machine learning and deep learning algorithms such as Convolutional Neural Networks. The
paper also emphasizes the importance of proper waste management for achieving carbon neutrality and how AI can
contribute to this goal by promoting recycling, composting, and circular economy principles. Finally, this paper presents
an experimental application of deep learning for garbage classification and suggests potential improvements based on
the results. Overall, this paper highlights the critical role of AI in waste management and its potential to revolutionize
waste classification and management while contributing to achieving carbon neutrality goals.
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