AAgWa Crop Production Forecasts Briefs No. 354

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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 ease of access to this type of data will enable stakeholders across the value chain to 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 354, we provide forecasts on rice production in Mozambique. MT (Metric tons):1 MT is equivalent to 1,000 kilograms.Change: refers to the relative difference and is calculated as (2026 prod -2025 prod) divided by 2025 prod.

Fields of Study & Subjects

Climate change impacts on agriculture Agricultural economics and policies Agricultural and Food Production Studies

Publication details

Publication date
4 March 2026
Language
EN