Sensing the Future: IOT-AI Synergy for Climate Action
A special issue of AI (ISSN 2673-2688). This special issue belongs to the section "AI Systems: Theory and Applications".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 1
Special Issue Editor
2. Department of Civil Engineering, International Islamic University Islamabad, Islamabad 44000, Pakistan
Interests: machine learning; deep neural networking; intelligent hydrology; water informatics
Special Issue Information
Dear Colleagues,
The accelerating impacts of climate change are intensifying challenges in water resources management, agriculture, and disaster preparedness. At the same time, advances in artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) are opening unprecedented opportunities for smarter sensing, prediction, and decision-making in climate-sensitive systems. By integrating data from remote sensing, in situ sensors, and telematics with intelligent algorithms, researchers and practitioners can develop innovative solutions for water sustainability, food security, and climate resilience.
This Special Issue invites high-quality research that explores the synergies between IoT and AI for climate action, with a particular focus on water-related applications and cross-sectoral linkages. We welcome contributions that combine technical innovation with real-world case studies, aiming to bridge the gap between advanced modeling and practical implementation.
Topics of interest include, but are not limited to, the following:
- AI-based flood forecasting, early warning, and disaster management.
- Game-theoretic frameworks for water allocation, pricing, and transboundary governance.
- Integrated assessment tools for the Water–Energy–Food (WEF) Nexus under climate stress.
- Telematics, IoT, and sensor networks for water informatics and decision support.
- Deep learning and hybrid models for rainfall, runoff, and drought prediction.
- Smart irrigation and climate-resilient water management for agriculture.
- Edge AI and federated learning for distributed water and climate data systems.
- Remote sensing and geospatial analytics for water resources monitoring.
- Digital twins of river basins, reservoirs, or urban water systems.
- Uncertainty quantification, explainability, and trust in AI models for climate-sensitive decision-making.
- Case studies on IoT–AI adoption in water, agriculture, and energy sectors.
We welcome original research articles, reviews, and application-oriented studies that advance the state of knowledge and practice in AI and IoT-driven approaches to climate action. Submissions that integrate multidisciplinary perspectives and demonstrate rigorous validation in real-world or simulated environments are especially encouraged.
This Special Issue aims to provide a platform for researchers, practitioners, and policymakers to showcase cutting-edge work, fostering the development of reliable and scalable IoT-AI solutions for climate resilience and sustainable water resource management.
We look forward to receiving your contributions.
Dr. Rashid Farooq
Guest Editor
Manuscript Submission Information
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Keywords
- IoT for climate action
- AI and water resilience
- flood forecasting and management
- game-theoretic water allocation
- water-energy-food nexus
- telematics and water informatics
- remote sensing and hydrology
- deep learning for rainfall prediction
- digital twin of water systems
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