AAgWa Crop Production Forecasts Briefs No. 355

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 355, we provide forecasts on wheat production in Morocco.In 2026, wheat production in Morocco is projected to reach 5,102,145 metric tons (MT), indicating a 1% increase over 2025 production levels.The highest wheat producers are expected to be Settat (Chaouia -Ouardigha), Taounate (Taza -Al Hoceima -Taounate), El Jadida (Doukkala -Abda), Safi (Doukkala -Abda), and El Kelaâ des Sraghna (Marrakech -Tensift -Al Haouz), with production levels estimated at 420,044 MT, 404,407 MT, 328,975 MT, 275,656 MT, and 274,818 MT.In contrast, lower production values are observed in Guelmim (Guelmim -Es-Semara), Inezgane-Aït Melloul (Souss -Massa -Draâ), Tata (Guelmim -Es-Semara), Zagora (Souss -Massa -Draâ), and Tan-Tan (Guelmim -Es-Semara) with production of 6,665 MT, 1,999 MT, 1,774 MT, 1,434 MT, and 208 MT, respectively.Compared to 2025, the most significant wheat production increases in 2026 are expected in districts such as Taounate (Taza -Al Hoceima -Taounate), Sidi Kacem (Gharb -Chrarda -Béni Hssen), Taza (Taza -Al Hoceima -Taounate), El Kelaâ des Sraghna (Marrakech -Tensift -Al Haouz), and Settat (Chaouia -Ouardigha), with differences of 9,866 MT, 6,357 MT, 6,294 MT, 5,731 MT, and 3,926 MT, respectively.These correspond to changes of 3%, 3%, 3%, 2%, and 1%.*Associate Scientist, Department of Data Intelligence and Governance, AKADEMIYA2063 **Senior Associate Scientist, Department of Data Intelligence and Governance, AKADEMIYA2063 MT (Metric tons): 1 MT is equivalent to 1,000 kilograms.