Meknes, April 24, 2025 – As part of its participation in the 17th edition of the International Agricultural Fair in Meknes, Crédit Agricole du Maroc Group organized a high-level strategic conference under the theme:
“Smart Agriculture: How Can Artificial Intelligence Contribute to the Efficient Use of Water in Agriculture?”
Held on Thursday, April 24, at the Fair’s conference venue, the event brought together leading national and international experts, representatives of official institutions, agritech startups, and key technical and financial stakeholders.
Artificial Intelligence: A Catalyst for Smarter Water Management
The conference served as a distinguished intellectual platform to assess the current status of AI applications in agriculture, particularly in optimizing and enhancing water management—a strategic resource vital for ensuring the sustainability of Morocco’s agricultural ecosystems.
Crédit Agricole’s Commitment to Sustainable Development
This initiative reflects the strategic vision of Crédit Agricole du Maroc as a key financial player in agricultural development and its steadfast commitment to supporting the sector’s sustainable transition. By fostering dialogue among stakeholders, the group aims to play a central role in building a strong agricultural technology ecosystem that serves farmers and contributes to Morocco’s food sovereignty.
Digital Transformation Serving Farmers
Speakers highlighted the importance of building an integrated digital system tailored to farmers’ needs, especially tools that allow for precise decisions in water and soil management. The conference also emphasized the role of smart technologies in tackling climate challenges and supporting national food security.
Towards Smarter and More Sustainable Agriculture
The conference is part of a broader series of initiatives launched by Crédit Agricole du Maroc to promote the digital transformation of agriculture and to develop innovative solutions capable of addressing climate stress and water scarcity, thereby creating a more resilient and sustainable agricultural model.
