International Journal of Research and Innovation in Applied Science (IJRIAS) |Volume VIII, Issue II, February 2023|ISSN 2454-6194
IoT-Enabled Waste Food Tracking and Monitoring for Animal Feed in Urban Centers
Mangala Godwin Odozo Ozor, Francis A. Okoye, Everistus Z. Orji
Computer Engineering, Enugu State University of Science and Technology, Nigeria
Received: 26 January 2023; Revised: 17 February 2023; Accepted: 21 February 2023; Published: 11 March 2023
Abstract: -This study aimed to assess the potential of using IoT-enabled waste food tracking and monitoring for animal feed in urban centers. The study was conducted in Enugu Urban, Nigeria, using descriptive statistics to analyze the data collected from a sample of food businesses. The results showed that the use of IoT-enabled waste food tracking and monitoring could significantly impact the collection and distribution of waste food for animal feed, ensuring that waste was efficiently collected for animal feeding. The study found that the median value was 3, the mean was 2.5, and the standard deviation was 1.2. The findings of this study highlight the importance of utilizing technology to improve food waste management practices and contribute to a more sustainable food system. The use of IoT-enabled waste food tracking and monitoring can help to address the challenges of food waste management in urban areas, such as ensuring proper storage and transport of waste and preventing food waste from going to landfill. The results of this study demonstrate the potential of IoT-enabled waste food tracking and monitoring for animal feed in urban centers and the need for continued efforts to reduce food waste and improve food waste management practices.
I. Introduction
The increasing urbanization and growth of cities across the world have led to growing concerns about food waste and its negative impact on the environment. In urban centers, food waste is often generated by food businesses such as restaurants, cafes, and supermarkets, which create large quantities of food waste that can be difficult to manage. This food waste has the potential to be used as a valuable resource for animal feed, but this often requires effective tracking and monitoring systems to ensure that waste is collected and distributed efficiently.
The Internet of Things (IoT) is a growing technology that has the potential to revolutionize the way we manage waste food in urban centers. IoT-enabled waste food tracking and monitoring systems can help to track the amount and types of waste food generated, the methods used for storage and transport, and the overall practices and conditions related to food waste management. These systems can provide real-time data that can be used to improve food waste management practices, reduce waste, and ensure that waste food is efficiently collected and distributed for animal feed. The purpose of this study was to assess the potential of IoT-enabled waste food tracking and monitoring for animal feed in urban centers. The study was conducted in Enugu Urban, Nigeria, and involved a sample of food businesses. Descriptive statistics were used to analyze the data collected, and the results were used to assess the potential of IoT-enabled waste food tracking and monitoring for animal feed in urban centers. The results of this study will provide valuable insights into the potential of IoT-enabled waste food tracking and monitoring for animal feed in urban centers and contribute to the development of sustainable food waste management practices.
II. Literature Review
Waste food has become a global concern as it poses a significant environmental challenge and at the same time represents a potential resource for animal feed. In urban centers, food businesses generate a large amount of food waste, which is often not properly managed. This situation has prompted the need for innovative solutions to track and monitor waste food and ensure its efficient collection for animal feeding. The Internet of Things (IoT) offers a promising solution to this challenge by providing a platform for real-time monitoring and management of food waste.
One of the early studies on IoT and food waste management was conducted by Anttiroiko and Avital (2015), who proposed a conceptual framework for an IoT-based food waste management system. The study identified several key components of such a system, including sensors, cloud computing, and mobile applications, and highlighted the importance of data analytics for improving waste management practices. Building on this work, several studies have explored the use of IoT for waste food tracking and monitoring in urban centers. For example, Kim et al. (2017) developed an IoT-based food waste management system for restaurants in South Korea, which allowed for real-time monitoring of waste food production and disposal. The system was found to be effective in reducing food waste and improving waste management practices.