Olusola Blessing | September 23, 2026
https://msmeafricaonline.com/world-bank-proposes-national-data-platforms-to-power-ai-in-african-agriculture/
The World Bank has proposed developing national agricultural data platforms to help Nigeria and other African countries build the data infrastructure needed to deploy artificial intelligence (AI) in agriculture.
The proposal is part of the bank’s broader effort to transform investments in agricultural statistics into digital infrastructure that can support AI-powered applications such as crop mapping, yield forecasting, pest surveillance and targeted agricultural advisory services.
The World Bank said Nigeria is among 10 African countries where recent agricultural surveys, supported by World Bank-financed statistical operations and the 50×2030 Initiative, have generated data on farms, crops, production, inputs, livestock, farming practices, and agricultural households.
According to the bank, these datasets, originally developed to strengthen agricultural statistics and evidence-based policymaking, could also provide the foundation for digital and AI-enabled agriculture.
The bank noted that agricultural AI requires more than satellite imagery, weather data and soil maps because these sources may not fully capture conditions at individual farms. Agricultural surveys can provide ground-level information on what farmers plant, the inputs and land they use, what they harvest, production losses and their access to irrigation, extension services, finance and markets.
When appropriately georeferenced and combined with satellite imagery and other data sources, the information could help train and validate AI models.
For Nigeria, a national agricultural data platform could integrate agricultural surveys, satellite imagery, rainfall and temperature records, soil maps, market information and administrative agricultural records.
Such a system could support applications for identifying crops, estimating yields, monitoring drought and production losses, detecting pest outbreaks and helping governments target extension services and agricultural investments.
The World Bank also highlighted research in Uganda showing that combining satellite imagery with household survey data could improve crop-yield estimates by reducing errors associated with relying on satellite information alone.