AAgWa Crop Production Forecasts Briefs No. 335

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Authors: Aïssatou Ndoye, Mansour Dia, Khadim Dia
Cited by: 0

Abstract

T he crop production forecasts brief series by AKADEMIYA2063's Africa Agriculture Watch (AAgWa) aims to provide more accurate and timely data on harvests and yields for 11 major crops across nearly 50African countries.The timeliness, wide availability, and easy access to this type of data will allow stakeholders across the value chain to better plan and execute policy and business actions more efficiently.The data published in the briefs are generated through the Africa Crop Production (AfCP) model, an Artificial Intelligence (AI)-based model applied to remotely sensed geo-biophysical data to produce estimates at pixel as well as administrative levels as early as the beginning of each growing season.In Brief 335, we provide forecasts on cassava production in Congo.

Fields of Study & Subjects

Remote Sensing in Agriculture Smart Agriculture and AI Climate change impacts on agriculture

Publication details

Publication date
5 February 2026