Your Virtual Cold Chain Assistant
Funding. This project is funded by the MasterCard Center for Inclusive Growth, The Rockefeller Foundation, and giz.
Duration. 2 years (2021-2022 for India, 2021-2023 for Nigeria).
Collaborations. BASE, Swiss Data Science Center, local service providers in India and Nigeria.
Contact. Thijs Defraeye (principal investigator).
Project background.
Your virtual cold chain assistant aims to use open access, data-science-based mobile application to save food, improve food quality, reduce CO2 emissions, and enhance the livelihood of smallholder farmers in India. By leveraging available farm input data such as weather and precipitation data, historical hygrothermal data in storage, data on the farming system, and so on, this project will use machine learning coupled with physics-based modeling to provide smallholder farmers and service providers with real-time food quality metrics such as remaining shelf life, weight loss, microbial spoilage, etc. and pre-and post-harvest market analytics. With this information, farmers can make informed decisions on when and how to sell their produce. At the same time, this project will give the service providers access to sustainable, energy-efficient, clean, affordable, and easy to operate refrigeration systems.
Publications.
Forecasting Fruit Freshness with Simulation Apps, September 2023, COMSOL, Link.
Onwude, D., Motmans, T., Shoji, K., Evangelista, R., Gajardo, J., Odion, D., Ikegwuonu, N., Adekanmbi, O., Hourri, S. and Defraeye, T., 2023. Bottlenecks in Nigeria's fresh food supply chain: What is the way forward?. Trends in Food Science & Technology. DOI
Odion, D., Shoji, K., Evangelista, R., Gajardo, J., Motmans, T., Defraeye, T. and Onwude, D., 2023. A GIS-based interactive map enabling data-driven decision-making in Nigeria's food supply chain. MethodsX, 10, p.102047. DOI
Li, D., Gajardo, J., Volpi, M. and Defraeye, T., 2023. Using machine learning to generate an open-access cropland map from satellite images time series in the indian himalayan region. Remote Sensing Applications: Society and Environment, p.101057. DOI
Knott, M., Perez-Cruz, F. and Defraeye, T., 2023. Facilitated machine learning for image-based fruit quality assessment. Journal of Food Engineering, 345, p.111401. DOI
You, L., Schudel, S. and Defraeye, T., 2023. Developing of biophysical food for monitoring postharvest supply chains for avocado and potato and deploying of biophysical apple. Journal of Food Engineering, 338, p.111219. DOI
Coldtivate launches the farmer’s interface
Integrating data-driven impact dashboard in Coldtivate
Mobile App: Empa and BASE release the first version of Coldtivate mobile app
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Media release on Your VCCA and partners launch an Operators Manual
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Media release on Identifying optimal cold room locations in Himachal Pradesh
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Press release on VCCA launches in Nigeria
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Press release on Nigeria mission
- Media release and report of the The Global Innovation Lab for Climate Finance
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Media release from BASE
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List of awardees on data.org