Towards a Carbon-Neutral Future: AI and Sustainable Strategies for Urban and Agricultural Resilience

Abstract

This chapter explores the transformative role of artificial intelligence (AI) in achieving a carbon-neutral future by enhancing sustainability in both urban and agricultural systems. AI-driven innovations are revolutionizing energy efficiency, resource management, and disaster resilience, contributing to significant reductions in carbon emissions. In urban settings, AI optimizes energy use through smart grids, facilitates the adoption of renewable energy, and supports sustainable infrastructure. In agriculture, AI powers precision farming, optimizes water and soil management, and reduces greenhouse gas emissions from livestock. The chapter also examines the synergy between urban and agricultural systems, highlighting AI’s role in sustainable food supply chains, urban farming, and agroforestry. Challenges such as data privacy, economic barriers, and technological limitations are addressed, along with future trends in AI-driven renewable energy integration, climate prediction, and global collaboration for sustainability. AI is positioned as a critical tool in the global push towards carbon neutrality and resilience. Keywords: AI, carbon neutrality, sustainable strategies, urban resilience, agricultural resilience, smart cities, precision farming, renewable energy, disaster resilience, sustainable food supply chains, urban farming, carbon capture, climate prediction, agroforestry, global sustainability.

Keywords

Identifiers

DOI

10.62311/nesx/92410

Journal

Artificial Intelligence and Climate Resilience: Building Carbon-Neutral Cities and Sustainable Agriculture

Year

2024