FoodWise: Geolocalised Food Wastes Tracking and Management | ||
| Kerbala Journal for Engineering Science | ||
| Article 4, Volume 1, Issue 2, Autumn 2020, Page 55-67 PDF (406 K) | ||
| Document Type: Original Article | ||
| Author | ||
| Ahmed Fadhil | ||
| University of Trento Italy | ||
| Abstract | ||
| Food waste has a number of impacts, such as: economic, environmental and social. Recent efforts in human computer interaction research have examined methods with the goal of manage surplus food and food waste prevention. In addition, existing approaches have number of limitations related to the techniques used and food waste phase focused. In addition, to our knowledge, no approach provides an open access data for food waste (e.g., open API) to be used by any interested entities for data analysis. In this paper, the effectiveness of a number of engineering approaches in the literature is investigated and an analytical comparison is demonstrated. The second step is highlighting the pros and cons of the proposed strategy. Finally, we propose “FoodWise”, suitable tool for implementing the proposed strategy, by combining geo localization, gamification, and crowdsourcing techniques. The contribution of this study might present a new opportunity for any interested stockholders to play a significant role in minimizing food waste problem. | ||
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