Smart Solutions for a Changing Climate through Digital Based Solutions

This volume aims to explore innovative, technology-driven strategies for climate change mitigation and adaptation. It focuses on the integration of digital technologies such as Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), Remote Sensing (RS), Geographic Information Systems (GIS), and Big Data Analytics in developing sustainable and resilient solutions for environmental management, bringing together interdisciplinary research and case studies demonstrating how digital transformation is enabling smart climate governance, precision agriculture, renewable energy management, disaster risk reduction, and carbon monitoring. 

At a time when food security, climate change, and sustainability are among the most pressing challenges of the twenty-first century, agriculture stands at the intersection of a global technological revolution. Farmers are required to produce more food with fewer resources under increasingly unpredictable climatic conditions, especially as the global population is projected to reach nearly 10 billion by 2050. Traditional agricultural practices alone are no longer sufficient, as greenhouse gas emissions, soil degradation, and unsustainable water use threaten long-term productivity and ecological balance. In response to these challenges, the integration of digital technologies such as artificial intelligence (AI), the Internet of Things (IoT), precision farming, remote sensing, UAV/drone monitoring, and smart renewable energy systems offers a paradigm shift toward more resilient, efficient, and sustainable farming systems. This book, Smart Agriculture and Climate-Resilient Farming: AI, IoT, and Digital Innovations, provides a comprehensive interdisciplinary resource, bridging the gap between computer science, engineering, and environmental management. Organized into four sections, it begins with AI, IoT, and digital transformation in agriculture, highlighting deep learning, precision farming, and sensor-driven agroforestry solutions. The second section focuses on smart energy and climate-resilient farm technologies, addressing renewable energy integration, smart grids, vertical farming, and AI-optimized eco-agronomy. The third section emphasizes data-driven soil, water, and crop management, presenting AI-assisted irrigation, nutrient management, and soil monitoring techniques. The final section explores technology-enhanced nature-based and integrated farming solutions, including smart conservation agriculture, AI-driven agroforestry, and IoT-enabled aquaculture systems. Targeted at researchers, practitioners, policymakers, and students, this volume combines technological innovations with socio-environmental perspectives, offering actionable insights and practical strategies. By demonstrating the potential of digital and smart technologies, the book aims to inspire confidence that agriculture can become a driver of climate resilience, sustainability, and global food security through innovation, collaboration, and evidence-based decision-making.