AI-Inspired Climate Resistant Smart Agriculture and Healthy Food Production

This chapter explores the integration of artificial intelligence (AI) into climate smart agriculture (CSA) to enhance resilience, sustainability, and food security amid climate change. It examines how AI technologies such as machine learning, computer vision, and predictive analytics support precision agriculture, early warning systems, soil and water management, pest control, and supply chain optimization. Drawing on case studies from India, Sudan, Kenya, Japan, the United States, and China, the chapter illustrates AI's role in transforming food systems. It also analyzes key challenges including limited data access, digital inequality, ethical concerns, and weak institutional frameworks. This chapter, per the authors, presents strategic recommendations for building inclusive digital ecosystems, promoting ethical AI design, and strengthening public private partnerships. By aligning AI innovations with sustainability objectives, the chapter positions AI as a critical enabler of climate resilient agriculture and global development efforts.