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IoT-Enabled Waste Food Tracking and Monitoring for Animal Feed in Urban Centers

Author

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  • Godwin Odozo Ozor

    (Computer Engineering, Enugu State University of Science and Technology, Nigeria)

  • Francis A. Okoye

    (Computer Engineering, Enugu State University of Science and Technology, Nigeria)

  • Everistus Z. Orji

    (Computer Engineering, Enugu State University of Science and Technology, Nigeria)

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.

Suggested Citation

  • Godwin Odozo Ozor & Francis A. Okoye & Everistus Z. Orji, 2023. "IoT-Enabled Waste Food Tracking and Monitoring for Animal Feed in Urban Centers," International Journal of Research and Innovation in Applied Science, International Journal of Research and Innovation in Applied Science (IJRIAS), vol. 8(2), pages 43-46, February.
    • Handle: RePEc:bjf:journl:v:8:y:2023:i:2:p:43-46
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