Climate-Ready Agriculture: Integrating AI Models and Agricultural Biotechnology

Climate-smart agriculture requires the convergence of artificial intelligence and advanced biotechnologies to build resilient, productive, and sustainable food systems under climate change. This chapter synthesizes emerging innovations across AI-driven crop modeling, remote sensing, precision agriculture, and genome engineering to enhance stress tolerance and resource efficiency. AI-biotechnology integration accelerates crop improvement by enabling predictive breeding, multi-omics data analytics, and optimized trait selection, while digital agriculture platforms spanning IoT sensors, UAV imaging, digital twins, and smart irrigation provide real-time monitoring and adaptive field management. Genome editing tools such as CRISPR-Cas systems further strengthen climate resilience by enabling precise modification of stress-responsive pathways, complementing microbiome engineering and soil health strategies. Ethical, economic, and regulatory frameworks are also examined to ensure equitable, safe, and scalable deployment of these technologies. Collectively, the chapter presents an integrated roadmap for developing climate-ready agriculture through converging digital, molecular, and ecological innovations.