Nottingham, UK: A consortium of universities and tech companies have completed pilot studies looking at how smart technology could eliminate food waste in the food chain.
The project aims to save 1.8m tonnes of food waste in northwest Europe and prevent 5.5m tonnes a year of CO2 emissions.
The project is led by Professor Ramakrishnan Ramanathan, University of Essex, with the University of Bedfordshire as the lead partner and also involving Nottingham Tent University. The project is funded by Interreg North-West Europe.
It has so far worked with businesses to adapt IoT and big-data technologies to best fit the needs of the food supply chain management system that includes farms, packaging sites, food processors, distribution, logistics, wholesalers, and retailers.
By using technology to continuously monitor and record food quality in real time, the pilot companies are aiming to achieve zero food waste and assure product quality.
Musgrave, Northern Ireland food retail, wholesale, and foodservice company, was looking to reduce the volume of food waste, increase product shelf life and reduce the cost of losses.
Working with Ulster University, sensors were placed in its vans used for local deliveries where integrity is lost through doors opening and closing frequently. The sensors have allowed the company to monitor live temperatures in the vehicles and respond quickly to text alerts if sustained temperature abuse is recorded.
Robert Gallagher, warehouse and transport operations manager at Musgrave, said: “We have monthly sessions with our food service customers where we ask them for feedback on quality and part of that is shelf life. This is where the integrity of the chill chain comes as we do have customers who come in with food they couldn’t use before its use by date. Through this project I’m hoping to see the full life span of our products being utilised.”
Another particpant, the Human Milk Foundation, a charity which delivers donor breast milk to babies in need, is involved in the project to help its cold chain which transports milk between houses, hospitals, and storage hubs.
Through project technology partners, sensors were placed in the insulated transport boxes with the temperature and humidity of the milk collected every 30 minutes. GPS locator sent data every two minutes. Alerts were sent if the milk temperature rose above a specified threshold. This has allowed the charity to minimise potential wastage of an already limited stock and reduce carbon emissions by saving energy through the better cooling during transport. This is the first-time data has been collected on the transportation of donor human milk and is helping the charity to plan the location of future hubs.
Another pilot scheme member is Yumchop Foods in Northamptonshire. It makes African meals free from preservatives, colouring or flavourings. The business model is based on its frozen meals being transported and stored in public vending machines where hot food is delivered to customers using built-in microwave ovens.
Sensors have been placed in the freezers in the Yumchop Foods factory to ensure that the required legal temperature thresholds are adhered to, as well as preserving the quality of the food in preparation for transport. The organisation benefits from alerts which advise of any temperature increase and allow staff to investigate and take immediate action – preventing any food waste and subsequent loss of revenue.
Following the initial success, Abi Adefisan, co-founder of Yumchop Foods, hopes to expand the use of the sensors, she said: “It would be great to have the sensors in the vending kiosks to continue to monitor the quality of the products. We want to save our staff from manually going to the sites and taking the records, instead we could get the data in real time like we now do at the production facility.”
Usha Ramanathan, professor of sustainability and supply chains at Nottingham Business School said: “The EU has committed to halving food waste by 2030 by focusing on all stages in the supply chain. Though technologies exist to reduce food waste, they have not been applied to food supply chains.”
“The pilot REAMIT projects have shown a range of prominent benefits to using IoT devices and alert systems – not just for food waste reduction but for quality assurance and food standards regulations, improved food availability, reduced cost, and improved sustainability.”
The trial has led to a variety of policy recommendations for food producers, manufacturers, distributors, and retailers regarding the use of IoT devices and alert systems.
These include introducing data analytics and algorithm-based alerts for ordering stock on demand rather than estimation; using stock inventory collected via IoT devices/smart sensors and analysed with big-data techniques for enhanced planning and identification of emerging trends and improved reactions to stock fluctuations; and utilising real-time tracking and traceability to reduce lost consignments, financial costs, and greenhouse gas emissions of lost shipments.
It is also suggested that food producers and manufacturers work with local authorities on initiatives like food banks and social eating spaces and sign up to redistribution schemes and consumer mobile applications such as FareShare and Too Good To Go. Non-consumable waste should be sent for other manufacturing processes, anaerobic digestion, composting or animal feed, with incentives for food manufacturers to collect food waste data and develop targeted waste minimisation plans.
A focus among distributors and retailers on short supply chains, local food networks and seasonal eating is also recommended, including increased partnerships with local (within 150 miles) and national producers; improving local food production and promoting seasonal produce rather than importing goods such as fresh meat, dairy, fruit, and vegetables. Whole crop purchases by retailers such as supermarkets is also encouraged, alongside a deeper involvement with farm crop planning.
Professor Ramanathan said: “Food waste results in several adverse economic, environmental, and social impacts. Saving food from becoming waste will help avoid these impacts. The REAMIT project has demonstrated that food waste can be saved very cost effectively using technology. Further, the REAMIT project shows that the power of big data and analytics need not only be applied to support private companies but can also be applied for social causes too.”
