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Revision as of 18:07, 17 February 2024
Foodini
Group members
| Name | Student number | Study | |
| Sem van Birgelen | 1813862 | Industrial Design | s.v.birgelen@student.tue.nl |
| Manka Huszár | 1581368 | Computer Science and Engineering | m.huszar@student.tue.nl |
| Aydan Bakhshi | 1671189 | Applied Physics | a.bakhshi@student.tue.nl |
| Yi Hang Cheung | 1014298 | Computer Science and Engineering | y.h.cheung@student.tue.nl |
| Bohao Ye | 1809903 | Computer Science and Engineering | b.ye1@student.tue.nl |
| Vlad Chibulcutean | 1780980 | Computer Science and Engineering | v.chibulcutean@student.tue.nl |
Introduction
Problem Statement
37% percent of food is wasted in households in the US[1], and in the EU, households generate more than half of the total food waste (54%)[2]. The causes of food waste could be food expiration, overshopping, and often these relate to poor meal planning and insufficient food management skills.
Objectives
- Create an app that suggests recipes based on the contents of the user's fridge;
- Investigate how technology can be used to combat food waste. More specifically:
- How much food is wasted in households;
- What are the main reasons for food waste;
- How to prevent food waste;
- What would be a convenient way for users to keep oversight of fridge contents;
- What incentives could be used to motivate consumers to prevent food waste
- How AI can assist in preventing food waste
- Check other recipe suggesting apps / websites, what features would be useful to add / what's missing.
Users & Requirements
Users
Adults in households, possibly restaurants and grocery stores.
User requirements
- Easy to use platform to save food
- Recipe suggestions
- Reminders about expiry dates
App requirements
Basic features:
- Firebase account login
- Inventory:
- Shopping list
- Edit list
- Expiry date (barcode)
- Recipe suggestions based on:
- Inventory
- Expiry dates
- [Optional] Cuisine (Italian, Asian, Mexican, etc.)
- [Optional] Preparation time
Extra features:
- Look at local supermarkets for ingredients about to expire and, if possible, include them in recipes against discounted price (Analogous to "To Good To Go");
- Scan the barcode of the product to add it to the list automatically.
Planning
Research team
- Sem
- Aydan
- Vlad
Development team
- Manka
- Yi Hang
- Bohao Ye
Underlined = deliverables
Week 1
Research
- Choose a subject - Everyone
- Research the problem - Everyone
- Find 25 articles and summarize (partly for now) – Sem, Aydan, Bohao
Development
- Implement sign up and sign in – Yi Hang
Week 2
Development
- Complete mock-up user interface designs ½ - Manka, Sem
- Start Page
- Login
- Sign up
Research
- Investigate state-of-the-art apps, add to wiki ½ – Aydan, Vlad
- Survey questions - Aydan
- App requirements (MoSCoW) - Bohao
Week 3 – Complete the survey
Development
- Complete mock-up user interface designs 2/2 - by Wednesday – Manka, Sem
- Inventory page
- Recipe page
- XML for login, sign up and inventory – Manka
- App Logo - Manka
- Implement Inventory – Yi Hang
- Page for item entry
- Enter expiration date
Research
- Investigate state-of-the-art apps, add to wiki 2/2 - Aydan, Vlad
- Summary of survey, add to wiki - Aydan
Week 4
Development
- XML for recipe page – Manka
- Implement Recipe page – Bohao, Yi Hang
- Notifications – Bohao
Research
- Put together contents for info page – Aydan, Vlad
Week 5 – First working version
Development
- Notifications – Bohao
- Information page – Manka
Week 6
Research
- Conduct user test – Everyone + 3rd party
- Collect and analyze user test results - Everyone
Week 7 – Final version
Development
- Add fixes to app according to user feedback – Development team
Week 8
- Create final presentation - Everyone
- Peer review - Everyone
Timesheet
Week 1
| Time (H) | Summary | Notes | |
|---|---|---|---|
| Yi Hang | |||
| Manka | |||
| Aydan | |||
| Bohao | |||
| Sem | |||
| Vlad |
Week 2
| Time (H) | Summary | Notes | |
|---|---|---|---|
| Yi Hang | |||
| Manka | |||
| Aydan | |||
| Bohao | |||
| Sem | |||
| Vlad |
Week 3
| Time (H) | Summary | Notes | |
|---|---|---|---|
| Yi Hang | |||
| Manka | |||
| Aydan | |||
| Bohao | |||
| Sem | |||
| Vlad |
Week 4
| Time (H) | Summary | Notes | |
|---|---|---|---|
| Yi Hang | |||
| Manka | |||
| Aydan | |||
| Bohao | |||
| Sem | |||
| Vlad |
Week 5
| Time (H) | Summary | Notes | |
|---|---|---|---|
| Yi Hang | |||
| Manka | |||
| Aydan | |||
| Bohao | |||
| Sem | |||
| Vlad |
Week 6
| Time (H) | Summary | Notes | |
|---|---|---|---|
| Yi Hang | |||
| Manka | |||
| Aydan | |||
| Bohao | |||
| Sem | |||
| Vlad |
Week 7
| Time (H) | Summary | Notes | |
|---|---|---|---|
| Yi Hang | |||
| Manka | |||
| Aydan | |||
| Bohao | |||
| Sem | |||
| Vlad |
Week 8
| Time (H) | Summary | Notes | |
|---|---|---|---|
| Yi Hang | |||
| Manka | |||
| Aydan | |||
| Bohao | |||
| Sem | |||
| Vlad |
Total
| Time (H) | |
|---|---|
| Yi Hang | |
| Manka | |
| Aydan | |
| Bohao | |
| Sem | |
| Vlad |
Literature study
Food waste matters - A systematic review of household food waste practices and their policy implications[3]
In recent years concerns regarding food waste have increased due to its environmental impact . Resource depletion and greenhouse gas emissions that food waste causes are a important reason for this. "Globally, nearly one third of food produced for human consumption is lost or wasted, equalling a total of 1.3. billion tonnes of food per year”. Food waste is also indirectly accompanied by other environmental impacts like: soil erosion, deforestation, water and air pollution as well as green house emmisions which occur during the food production process, also thik of transportation. In the food supply chain, households represent the largest food waste section. In summary, if food is wasted in households, all energy was in vain and the complementary environmental impacts are for nothing. A holistic food waste prevention has to go beyond putting the responsibility solely on the consumers, policy makers need to be commited as well. Food waste prevention has to become the more attractive option for households.
Learning from and designing after pandemics. CEASE: A design thinking approach to maintaining food consumer behaviour and achieving zero waste[4]
According to this article, a CEASE (Community, Engagement, Actions, Sharability and Ecosystem) approach to the food waste problem would be beneficial. What this means is that the design to combat food waste should be: 1) Community based, it should emphasize with the user. This focuses on the emotional and social desires of a community, the goal is to highlight the value that are basis for emerging behaviour patterns. Secondly, Engagement, interacting with the users is important and they need a sense of empowerment. Thirdly, actions, this is the part where you ideate for solutions and come up with potential prototype. Shareability is about creating a prototype that can be shared. Lastly Eco-systems are tested in to predict long term results and possible problems.
Food Waste Prevention: a design intervention for Households[5]
This is the report of an Industrial Design student from Delft who did a design project about food waste prevention in households. The article discovers the main traits of the wasters. For example, young adults mainly waste food because of their busy lifestyle while large households (4+ members) generally waste the most due to less consciousness in reusing leftovers into new meals. It also takes a look at already existing initiatives like: Eetmaatje, the fridge and freezer sticker, slim koken app, de verspillingsvrijeweek, and educational initiatives in general.
The final design were the “Eetkaartjes”, a design that aimed to make leftovers more apperent, force a sense of responsibility on the user and have the fridge more organised.
Design an Intervention to Support Food Waste Prevention at Home[6]
Another Design graduation project was that of by Fauza Karomatul Masyhuroh, also from the TU Delft. From user research, it was concluded that “In the current practice, people already display food. However, sometimes this makes the kitchen a bit messy, and some food is still discarded due to getting rotten. So they expect the food in a neat and pretty way and ease them organising older and newer food to prevent spillage.
The final design that was created was Foodi, a storage system for fruits and partly vegetables. To slow down the riping process, different fruits were seperated to contain their Ethylene gasses.
Food Waste at Consumer Level[7]
This source explores food waste at consumer level in depth. It tries to understand the consumer behaviour that causes food waste. The general conclusion this paper made was that . It concluded that household food waste depends on consumer food management which means: “planning, provisioning, storing, preparing, consuming, disposal, and the consumer decision process: planning, pre-acquisition, acquisition, preparation, consumption, disposition.”
Food Waste Management[8]
This article gives an research-based overview of food-waste by looking at environmental, socia-economic, economic, social and ethical considerations. In the 4th part it also looks at practical innovative solutions like for example insect-based bioconversion or Gleaning. The first one being about how insects could consume waste while producing valuable resources. Gleaning however is a very old technique used to salvage crops from farms which would otherwise rot. It also looks at assumptions made about consumers and how they relate to campaigns against food waste.
Over Orbisk[9]
Orbisk is a start-up company that aims to make the global food system more sustainable. They want to use emerging technologies like Computer Vision and AI to automatically monitor all food that is thrown away on ingredient level. The sensors used would be a camera above the trash bin. These insights can then be used by for example restaurants to adjust their menu.
Understanding Food Loss and Waste—Why are we losing and wasting food?[10]
Definitions of food loss and food waste, quantification, causes of food loss and waste at different stages of the food supply chain.
Key points:
- Four main criteria affect food waste during the consumption stage: household size and composition, income, culture, and demographic factors;
- In addition to these four main factors, it has been widely confirmed in the literature that the individual attitudinal factor could also influence the FLW reduction.
A systematic literature review on food waste/loss prevention and minimization methods[11]
TODO Manka
A systems approach to assessing environmental and economic effects of food loss and waste interventions in the United States[12]
TODO Yi Hang
Digital platforms: mapping the territory of new technologies to fight food waste[13]
This article presents a comprehensive list of digital platforms for food waste management.
Using artificial intelligence to tackle food waste and enhance the circular economy: Maximising resource Efficiency and Minimising Environmental Impact: A review[14]
The role of AI in preventing food waste, more specifically in smart monitoring, predictive analytics, smart inventory management, consumer awareness and education, donation and redistribution.
Food Waste Management: AI Driven Food Waste Technologies[15]
TODO Sem
Smart strategies for household food waste management[16]
TODO Aydan
Determinants of Food Waste from Household Food Consumption: A Case Study from Field Survey in Germany[17]
TODO Bohao
Household food waste: Attitudes, barriers and motivations[18]
TODO Bohao
TODO add 2 more articles
References
- ↑ Food waste in the united states. (n.d.). Ballard Brief. Retrieved February 17, 2024, from https://ballardbrief.byu.edu/issue-briefs/food-waste-in-the-united-states
- ↑ (N.d.). Retrieved February 17, 2024, from https://food.ec/safety/food-waste_en
- ↑ Schanes, K., Dobernig, K., & Gözet, B. (2018). Food waste matters—A systematic review of household food waste practices and their policy implications. Journal of Cleaner Production, 182, 978–991. https://doi.org/10.1016/j.jclepro.2018.02.030
- ↑ Massari, S., Principato, L., Antonelli, M., & Pratesi, C. A. (2022). Learning from and designing after pandemics. CEASE: A design thinking approach to maintaining food consumer behaviour and achieving zero waste. Socio-Economic Planning Sciences, 82, 101143. https://doi.org/10.1016/j.seps.2021.101143
- ↑ Dott, J. (2020). Food waste prevention: A design intervention for households. https://repository.tudelft.nl/islandora/object/uuid%3A9f7cceaf-9942-4fa4-aadf-7109d53f51e8
- ↑ Fauza Karomatul Masyhuroh, F. (2021). Design an intervention to support food waste prevention at home. https://repository.tudelft.nl/islandora/object/uuid%3A20e9fe37-3853-4366-ae9f-37e6e3d0c3ec
- ↑ Principato, L. (2018). Food waste at consumer level. Springer International Publishing. https://doi.org/10.1007/978-3-319-78887-6
- ↑ Närvänen, E., Mesiranta, N., Mattila, M., & Heikkinen, A. (Eds.). (2020). Food waste management: Solving the wicked problem. Springer International Publishing. https://doi.org/10.1007/978-3-030-20561-4
- ↑ Over Orbisk—Op een missie om het wereldvoedselsysteem duurzamer te maken. (n.d.). Orbisk. Retrieved February 17, 2024, from https://orbisk.com/nl/over-orbisk/
- ↑ Ishangulyyev, R., Kim, S., & Lee, S. (2019). Understanding food loss and waste—Why are we losing and wasting food? Foods, 8(8), 297. https://doi.org/10.3390/foods8080297
- ↑ Moraes, N. V., Lermen, F. H., & Echeveste, M. E. S. (2021). A systematic literature review on food waste/loss prevention and minimization methods. Journal of Environmental Management, 286, 112268. https://doi.org/10.1016/j.jenvman.2021.112268
- ↑ Muth, M. K., Birney, C., Cuéllar, A., Finn, S. M., Freeman, M., Galloway, J. N., Gee, I., Gephart, J., Jones, K., Low, L., Meyer, E., Read, Q., Smith, T., Weitz, K., & Zoubek, S. (2019). A systems approach to assessing environmental and economic effects of food loss and waste interventions in the United States. Science of The Total Environment, 685, 1240–1254. https://doi.org/10.1016/j.scitotenv.2019.06.230
- ↑ Cane, M., & Parra, C. (2020). Digital platforms: Mapping the territory of new technologies to fight food waste. British Food Journal, 122(5), 1647–1669. https://doi.org/10.1108/BFJ-06-2019-0391
- ↑ Onyeaka, H., Tamasiga, P., Nwauzoma, U. M., Miri, T., Juliet, U. C., Nwaiwu, O., & Akinsemolu, A. A. (2023). Using artificial intelligence to tackle food waste and enhance the circular economy: Maximising resource efficiency and minimising environmental impact: a review. Sustainability, 15(13), 10482. https://doi.org/10.3390/su151310482
- ↑ Singh, S. (2023, January 16). Food waste management: Ai driven food waste technologies. Analytics Vidhya. https://www.analyticsvidhya.com/blog/2023/01/food-waste-management-ai-driven-food-waste-technologies/
- ↑ Cappelletti, F., Papetti, A., Rossi, M., & Germani, M. (2022). Smart strategies for household food waste management. Procedia Computer Science, 200, 887–895. https://doi.org/10.1016/j.procs.2022.01.286
- ↑ Hermanussen, H., Loy, J.-P., & Egamberdiev, B. (2022). Determinants of food waste from household food consumption: A case study from field survey in germany. International Journal of Environmental Research and Public Health, 19(21), 14253. https://doi.org/10.3390/ijerph192114253
- ↑ Nunkoo, R., Bhadain, M., & Baboo, S. (2021). Household food waste: Attitudes, barriers and motivations. British Food Journal, 123(6), 2016–2035. https://doi.org/10.1108/BFJ-03-2020-0195