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AI predicts African staple crop yields

A web-based platform predicts African crop yields. The aim is to close Africa’s agricultural data gap and support effective decision-making and crisis planning.

A new tool, which uses cutting-edge machine learning techniques and satellite remotely sensed data predicts agricultural yields for nine key crops across Africa, the pan-African non-profit research organisation AKADEMIYA2063 announced in May 2023.

The web-based Africa Agriculture Watch (AAgWa) platform has provided predictions for agricultural yields in 47 African countries, across many of the most important crops for African food production, including maize, cassava and sorghum. The tool is designed to support farmers, policymakers and local communities in crisis management, monitoring and mitigation.

This new phase of the AAgWa program will support African countries in using emerging technologies like AI and advanced remote sensing in order to achieve their development objectives and broader economic growth, including the African Union’s (AU) Agenda 2063 and Digital Transformation Strategy for Africa (2020-2030).

Title of publication: Rural21
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Author: Rural 21
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Organization: Rural21
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Year: 2023
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Geographical coverage: Africa
Type: Blog article
Content language: English
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