Waste Classification Using Artificial Intelligence Techniques:Literature Review
نویسندگان
چکیده
waste is the total remnants of domestic, agricultural, industrial and productive human activities, all trash left somewhere, neglect which threatens harms public safety. Waste divided into many types such as: Non-biodegradable waste, Hazardous Industrial Municipal solid Agricultural waste.
 Organic waste: It fermentable as food scraps garden waste. Inorganic that does not contain organic compounds, plastic, metals, clothes. Also Solid like mineral or glass materials, it results from agricultural needs hundreds years to decompose, its presence poses an environmental threat. The efficiency accuracy conventional classification techniques are both low, process identifying categorizing different based on their characteristics. Accurate important for a number reasons, including supporting recycling other forms resource recovery, protecting environment health, reducing costs management. Additionally, because vast amount unskilled people separate rubbish, less exact, takes more time, isn't entirely practicable. Artificial intelligence image processing, two powerful computing techniques, have advanced now offer variety solutions. However, current models still several issues, poor lengthy run times, various wastes require methods disposal. existing driven by deep learning easy achieve accurate need be improved due architecture networks adopted. Aimed at solving these problems. Several modules been reviewed with advantages each listed in Table 1.
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ژورنال
عنوان ژورنال: Technium
سال: 2023
ISSN: ['2668-778X']
DOI: https://doi.org/10.47577/technium.v5i.8345