IBM FreshFood
Mandy Ko, Chris Linscott, Victor Liu, Mateo Ortega, Sharon Tran
Waste Footprint
Reduce volume of and demand for materials that create the biggest waste footprint, and encourage reuse/reduce opportunities.
The world has a waste problem, and it impacts vulnerable communities the most. From the generation of excess materials to consumer demand, to reuse and recycling opportunities, changes are needed throughout the cycle so that we conserve natural resources and less items end up as waste polluting our planet.
Food Waste
Around 931 million tonnes of food goes to waste each year, costing the global economy around $936 billion per year, yet 66% of consumers have increased their spending on fresh food
Within the food supply chain, fresh produce spends 50% of its shelf life in transportation and storage, and it is unknown what happens to the 33% of our global food supply that is lost�or wasted
https://www.ibm.com/blockchain/resources/7-benefits-ibm-food-trust/#food-freshness
Problem Statement
How might we leverage IBM technologies to better monitor and account for freshness throughout the food supply chain in order to maximize produce shelf life and minimize food waste?
Proposed Solution
From utilizing the blockchain for food system:
Our solution is an AI based management system which leverages the IBM Maximo Visual Inspection product to intelligently scan and recognize the shelf life from quality to defects for fresh produce production.
production.
Map
Providing a document library from owning organization, harvest date, alerts of defects, and document type
Users seeking more info from list of produce from a specific company: quantity, expiration date, and it alerts the status of each fresh produce
Quality Inspection that analyzes real time data and gathers insights on size, color, defects, firmness.
Impact and Value
Implementing fresh produce inventory management techniques has a strong annual impact potential:
Net Financial Benefit – $1.62 Billion
Food Waste Diversion – 618k Tons
Emissions Reduction – 1.32M Metric Tons CO2
Water Savings – 94.7B gallons
https://insights-engine.refed.org/solution-database/first-expired-first-out
Next Steps
Using data collection,analytics, and with the improvement of the machine learning capabilities IBM FreshFood will be able to:
Determine the quality of animal based products using data from the food that's being feed to the animal and their overall quality of life.
Predict the longevity of the food before it arrives to destination.
Give feedback on how to improve the quality of the products based on data collected.
Reflection