Introduction:
Climate change is intensifying water scarcity and increasing competition for this vital resource, especially in agricultural regions. This often leads to significant water waste and escalating territorial disputes among farmers and communities. Traditional water management approaches are proving insufficient to address these complex and interconnected challenges. This study introduces the concept of "hydro-justice," advocating for equitable and sustainable management of water resources in farming.

Methods:
We propose a smart water management framework integrating real-time hydrological data with AI-driven predictive analytics for water demand and supply forecasting. The system will leverage IoT-based sensors for precise water monitoring and blockchain technology to ensure transparent and verifiable water allocation. This framework aims to optimize irrigation schedules, detect leaks, and establish clear, immutable records of water rights and usage.

Expected Results:
We anticipate a substantial increase in water-use efficiency within agricultural settings, leading to a significant reduction in water waste. Moreover, by providing a transparent and verifiable system for water allocation, we expect a notable decrease in territorial disputes and conflicts over water resources. The AI module will enhance adaptive decision-making for farmers, while the blockchain component will foster trust and accountability.

Conclusion:
This AI- and blockchain-integrated water management system offers a novel, scalable solution for achieving hydro-justice in farming. By combining smart technology with transparent governance mechanisms, it aims to create more climate-resilient and socially equitable agricultural ecosystems, promoting both environmental sustainability and peace within farming communities.