The population growth, changing consumption patterns, and rapid
urbanization contribute significantly to the growing volumes of solid
waste that are generated in urban settings. As the rate of
urbanization increases, demand on the services of solid waste
management increases. The rapid urban growth in Langkawi Island,
Malaysia, combined with the increasing rates of solid waste production
has provided evidence that the traditional solid waste management
practices, particularly the methods of waste collection and disposal,
are inefficient and quite nonsustainable. Accordingly, municipal
managers and planners in Langkawi need to look for and adopt a model
for solid waste management that emphasizes an efficient and
sustainable management of solid wastes in Langkawi Island. This study
presents the current practices of solid waste management in Langkawi
Island, describes the composition of the solid waste generated in that
area, and presents views of local residents and tourist on issues
related to solid waste management like the aesthetic value of the
island environment. The most important issue of this paper is that it
is the first time that integrated solid waste management is
investigated in the Langkawi Island.
Artificial intelligence (AI) has embodied the recent technology in the food industry over the past few decades due to the rising of food demands in line with the increasing of the world population. The capability of the said intelligent systems in various tasks such as food quality determination, control tools, classification of food, and prediction purposes has intensified their demand in the food industry. Therefore, this paper reviews those diverse applications in comparing their advantages, limitations, and formulations as a guideline for selecting the most appropriate methods in enhancing future AI- and food industry–related developments. Furthermore, the integration of this system with other devices such as electronic nose, electronic tongue, computer vision system, and near infrared spectroscopy (NIR) is also emphasized, all of which will benefit both the industry players and consumers.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.