Adaptation & Resilience, Land Use
Your Virtual Cold Chain Assistant: Nigeria

Building agricultural resilience through digitalisation

Period
2021-2023
Countries
Nigeria
Partners
Empa
Funder
GIZ on behalf of BMZ, data.org

CONTEXT

Agriculture plays a vital role in the Nigerian economy, with the rural population being particularly dependent on the primary sector for their livelihood. 70 percent of Nigeria’s rural population are farmers, of which 88 percent are smallholders with less than 2 hectares of land.

Yet, Nigeria’s agricultural sector faces significant risks due to a lack of access to cooling to protect the food. 40 percent of Nigeria’s produce is lost or wasted, equivalent to 77 million tons and USD 40 billion worth of produce wasted annually.

Besides the negative impact on farmers’ income caused by this food loss, they further face income loss by being forced to sell their produce at low prices at the wrong time due to lack of access to market information.

Climate-friendly cooling technologies are available, but their deployment has been limited by lack of reliable access to energy, high-upfront costs, unavailability of proper maintenance, and limited financing options and know-how.

In addition, most of the existing postharvest expertise solutions and market intelligence are closed-access and not inclusive of smallholder farmers in developing countries. 

PROJECT

As an expansion effort of the work being done as a part of the data.org’s Inclusive Growth and Recovery Challenge in India, BASE and Empa are developing open access, data-science-based mobile wp-contentlication Your Virtual Cold-Chain Assistant (YourVCCA) for Nigeria. YourVCCA seeks to enable smallholders to optimise their production and farm management decisions and gain access to sustainable cooling.


The wp-content digitises the processes required for clean technology providers to offer the servitisation business model to their customers. With this model, farmers gain access to the most efficient, reliable and sustainable off-grid cooling while only paying for the amount of food they store with the servitisation business model (pay per kg-day), avoiding any upfront investment. Service providers own and maintain the cooling facilities, thereby covering the operational costs. This long-term commitment serves as an incentive for them to install the most energy-efficient equipment and perform high-quality maintenance.


The wp-contentlication will complement this by allowing farmers to monitor their crops’ quality in real-time and provide access to tailored market intelligence to maximise their net profit while leveraging the extended shelf life enabled by cooling. The wp-content offers recommendations on the best time to sell the crop, based on expected shelf life and projected market prices.


The expansion of the project YourVCCA to Nigeria is commissioned by the German Federal Ministry for Economic Cooperation and Development (BMZ). It is being carried out by BASE in partnership with Empa on behalf of the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH. Parallel funding is received from the data.org Inclusive Growth and Recovery Challenge, which, launched in partnership with the Rockefeller Foundation and the Mastercard Center for Inclusive Growth, aims to tackle society’s most significant challenges and help people and communities thrive by harnessing the power of data science.

MORE ABOUT THE APP

To develop the wp-content, the project team is using various data inputs on weather, market volume and location, satellite images, fresh-produce yields, hygrothermal cold-storage sensors, forecasted remaining shelf life of produce, and real-time market prices.


The wp-content complements machine learning models with physics-based food quality modelling and will include the following components:

  • Digitise the inventory management to offer cooling on a pay-per-crate basis
  • Identify smallholder farmers that currently do not have access to cooling facilities and have an immense potential to adopt and implement our solution and predict the potential increase in income and reduction of food loss.
  • Predict the quality of the stored food upon entry into the cold storage with computer vision.
  • Forecast the remaining shelf life of the stored crops for the current cold storage conditions with physics-based modelling fed by data on the initial quality and the real-time measured temperature and humidity in the storage room.
  • Predict market prices and provide recommendations to the cold room users on the best time and place to sell the produce to maximise their net profit.
Contact persons
Celina Schelle
Sustainable Finance Specialist
Experience In: Europe, Africa
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Roberta Evangelista
Senior Digitalisation Specialist
Experience in: Europe, Africa.
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Simran Singh
Sustainable Finance Specialist and Communications Officer
Experience in: Asia, Europe
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Jina Yazdanpanah
Technical Product Manager
Experience in: North & Central America, Africa
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