Smart Analytics of Food Waste in University Canteens

Faculty of Management Sciences , Sriracha Campus
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This project deployed a smart food waste analytics platform combining automated weighing and AI image recognition to track quantities and types of food waste in seven university canteens. Data were displayed on a real-time dashboard accessible to students, staff, and vendors, prompting behavior changes in ordering and menu planning.

Partnering with home economics faculty and student clubs, the team designed waste-reduction activities such as portion-size adjustments, “just-right” rice menus, and environmental impact infographics at waste bins. A cross-faculty contest for low-waste menu innovations created motivation and constructive competition.

In the first year, food waste volumes fell by over 25% compared to the three-year average. Data outputs were integrated into relevant courses and student projects on sustainability and data science. The project directly advances SDG 12 and meets 2025 indicator requirements.

แท็กที่เกี่ยวข้อง:
FoodWaste AI IoT SDG12
Summary Information
  • Project Type: Research
  • Year of Data (A.D.): 2025
  • Start Date: 15/01/2025
  • End Date: 20/12/2025
  • Participants: 190
  • Budget (THB): 280,000.00 THB
  • จำนวนผู้เข้าชม: 46
Related Indicators
SDG 9Industry, Innovation and Infrastructure

9.3.1 - Patents

SDG 10Reduced Inequalities

10.1.1 - Research on reduced inequalities (CiteScore)

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