The integration of Artificial Intelligence (AI) in Moroccan agriculture is accelerating the sector’s digital transformation, fostering innovation, and enhancing sustainability. This study examines the role of artificial intelligence-driven solutions in optimizing irrigation, crop management, and supply chains through public and private initiatives. It highlights key projects under the Digital Pole of Agriculture, including satellite-based agricultural geoservices, drought monitoring systems, and innovative solutions for livestock management. Additionally, the study examines the contributions of Moroccan AgriTech startups, such as AgriEdge and YoLa Fresh, which utilize Artificial Intelligence, the Internet of Things (IoT), and big data to enhance precision farming and supply chain efficiency. However, despite these advancements, challenges such as infrastructure limitations, data fragmentation, and low digital literacy among farmers persist. The study concludes by providing recommendations for enhancing the adoption of Artificial Intelligence in Moroccan agriculture, drawing insights from international best practices.
AAREJ et al. (Fri,) studied this question.