In Nigeria we collaborate widely with stakeholders including academia and private entities to create new innovation and research that would advance the food system, yielding results that reverberate through the food value chain.
An example of such research work is on SenseStick – a collaboration with a Nigerian based University and college Professors to create a cloud computing driven system for forecasting climatologic patterns and outcomes in relation to crop yield and productivity.
R & D For Food Systems
R & D For Food Systems
WE BELIEVE IN: APPLYING INNOVATION, TECHNOLOGY AND RESEARCH TO IMPROVE FOOD SYSTEMS
SenseStick Device
Thematic Area
Cross Cutting: Agriculture, Food Security, Advisory System, Early Warning.
A device that uses a range of sensors to gather atmospheric and environmental data in farms which are analyzed using AI driven predictive models to forecast and recommend best conditions for high produce yield.
SenseStick Device
Thematic Area
Cross Cutting: Agriculture, Food Security, Advisory System, Early Warning.
A device that uses a range of sensors to gather atmospheric and environmental data in farms which are analyzed using AI driven predictive models to forecast and recommend best conditions for high produce yield.
CONVERGENCE PROJECT
CONVERGENCE PROJECT
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