Democratization of Crop Irrigation: An Intelligent Approach Combining IoT, Machine Learning, and Social and Solidarity Economy

Özet

Equitable access to efficient irrigation remains a major challenge for smallholder farmers, particularly in regions like Morocco, where water access inequalities hinder agricultural productivity and exacerbate socio-economic disparities.  

            This project proposes an innovative solution to optimize irrigation by combining advanced technologies (IoT and machine learning) with collective governance models and participatory financing based on Islamic finance, aiming to promote sustainable and inclusive water resource management.  

             The project relies on an IoT platform to collect real-time data on soil moisture and weather conditions, while machine learning algorithms optimize irrigation schedules. A blockchain-based architecture ensures transparency and traceability of transactions, and a participatory financing model, inspired by the social and solidarity economy, promotes the inclusion of smallholders.  

         This initiative enables more efficient and equitable water management, reducing waste and improving agricultural productivity. It also strengthens trust among stakeholders through blockchain and fosters the socio-economic inclusion of rural communities.  

         By integrating cutting-edge technologies and collaborative approaches, this project offers a sustainable model for democratizing irrigation, maximizing its socio-economic and environmental impacts. It represents a promising pathway to address water management challenges in vulnerable agricultural regions.