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<p>The rising waste management issue calls for new approaches to enhance efficiency and minimize pollution. Conventional practices are faced with mounting complexity and volumes of waste. This survey addresses AI-based sorting of waste employing machine learning and deep learning methodologies, which discuss their utility in optimizing waste segregation and operating performance. It summarizes recent advancements, challenges, and future directions of work. Following a thorough review of novel AI technologies for waste management, the study is an informative guide for researchers and practitioners. The use of AI technologies can facilitate green waste management, environmental protection, and resource conservation.</p>

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Artificial intelligence-based classification for waste management: a systematic review and future direction

  • 期刊论文

  • 发表日期：

    2025年10月1日

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  • Dhanashree Vipul Yevle,
  • Palvinder Singh Mann

摘要

The rising waste management issue calls for new approaches to enhance efficiency and minimize pollution. Conventional practices are faced with mounting complexity and volumes of waste. This survey addresses AI-based sorting of waste employing machine learning and deep learning methodologies, which discuss their utility in optimizing waste segregation and operating performance. It summarizes recent advancements, challenges, and future directions of work. Following a thorough review of novel AI technologies for waste management, the study is an informative guide for researchers and practitioners. The use of AI technologies can facilitate green waste management, environmental protection, and resource conservation.