Food Waste Management : A Case Study on the Employment of Artificial Intelligence for Sorting Technique.

Annisa, Jamali and Misman, Z.F.A. (2020) Food Waste Management : A Case Study on the Employment of Artificial Intelligence for Sorting Technique. In: Natural Food Products and Waste Recovery Healthy Foods, Nutrition Design, and Extraction of Valuable Compounds. Apple Academic Press, Inc., Florida (USA), pp. 1-27. ISBN 9781771889810

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Abstract

Food waste is a subcategory of Municipal Solid Waste (MSW). Food waste 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 system and many have successfully 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 field including waste sorting. Thus, the purpose of this paper is to gain an insight of employment of AI in waste sorting and how it can benefit the food waste 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 recommendation for future research are presented in conclusion.

Item Type: Book Chapter
Uncontrolled Keywords: Artificial Intelligent, Food Waste, Sorting Technique and Municipal Solid Waste, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak.
Subjects: Q Science > Q Science (General)
Q Science > QD Chemistry
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Depositing User: Jamali
Date Deposited: 02 Sep 2020 06:48
Last Modified: 02 Sep 2020 06:48
URI: http://ir.unimas.my/id/eprint/31523

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