ABSTRACT
Food waste (FW) is a subcategory of municipal solid waste (MSW). FW management has received growing interest from a national, regional, and international level due to social, economic, and environmental impacts. The situation in Malaysia is no exception. Sorting waste is a labor-intensive process, and the development of the sorting system plays a vital role. Several technologies have been reported for waste sorting systems, and many have successfully been implemented in the actual field. However, most of the work limited to sorting certain groups of materials. Recently, the field of Artificial Intelligence (AI) has drawn researchers’ attention in various fields, including waste sorting. Thus, the purpose of this chapter is to gain an insight of employment of AI in waste sorting and how it can benefit the FW sorting. The research focuses on the most salient progress of the available method or technique in AI for waste sorting. Three different classifications of studies in sorting waste that make use of AI technology are assessed. It is followed by a presentation of challenges of artificial intelligent sorting techniques, suggesting that whether every single methodology can effectively provide the accuracy of sorting, flexibility, and systems’ reliability. Some of the potential concerns and recommendations for future research are presented in the conclusion.
