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The Scientific World Journal
Volume 2014 (2014), Article ID 646953, 13 pages
http://dx.doi.org/10.1155/2014/646953
Research Article

IoT-Based Smart Garbage System for Efficient Food Waste Management

School of Electrical and Electronics Engineering, Chung-Ang University, Seoul 151-756, Republic of Korea

Received 11 April 2014; Accepted 28 May 2014; Published 28 August 2014

Academic Editor: Zhongmei Zhou

Copyright © 2014 Insung Hong et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [7 citations]

The following is the list of published articles that have cited the current article.

  • M. A. Hannan, Md. Abdulla Al Mamun, Aini Hussain, Hassan Basri, and R. A. Begum, “A review on technologies and their usage in solid waste monitoring and management systems: Issues and challenges,” Waste Management, vol. 43, pp. 509–523, 2015. View at Publisher · View at Google Scholar
  • Valerio Elia, Maria Grazia Gnoni, and Fabiana Tornese, “Designing Pay-As-You-Throw schemes in municipal waste management services: A holistic approach,” Waste Management, vol. 44, pp. 188–195, 2015. View at Publisher · View at Google Scholar
  • Cor Verdouw, Sjaak Wolfert, and Bedir Tekinerdogan, “Internet of things in agriculture,” CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources, vol. 11, 2016. View at Publisher · View at Google Scholar
  • Zacharoula Andreopoulou, “Internet of Things and food circular economy: A new tool for Sustainable Development Goals,” Rivista Di Studi Sulla Sostenibilita', no. 2, pp. 43–49, 2017. View at Publisher · View at Google Scholar
  • Djavan De Clercq, Zongguo Wen, Oliver Gottfried, Franziska Schmidt, and Fan Fei, “A review of global strategies promoting the conversion of food waste to bioenergy via anaerobic digestion,” Renewable and Sustainable Energy Reviews, vol. 79, pp. 204–221, 2017. View at Publisher · View at Google Scholar
  • Saiful Azad, Arafatur Rahman, A. Taufiq Asyhari, and Al-Sakib Khan Pathan, “Crowd Associated Network: Exploiting over a Smart Garbage Management System,” IEEE Communications Magazine, vol. 55, no. 7, pp. 186–192, 2017. View at Publisher · View at Google Scholar
  • Iván Ramírez, Alfredo Cuesta-Infante, Juan J. Pantrigo, Antonio S. Montemayor, José Luis Moreno, Valvanera Alonso, Gema Anguita, and Luciano Palombarani, “Convolutional neural networks for computer vision-based detection and recognition of dumpsters,” Neural Computing and Applications, 2018. View at Publisher · View at Google Scholar