This chapter explores the transformative potential of integrating nanotechnology and artificial intelligence (AI) in precision agriculture, offering a paradigm shift in farming practices through data-driven, targeted interventions. Precision agriculture focuses on optimizing resource use and enhancing yield by tailoring farming practices to the specific needs of crops, utilizing high-resolution data. Nanotechnology plays a crucial role by providing advanced tools such as nanosensors and nanocarriers, which enable real-time monitoring and precise delivery of inputs like fertilizers and pesticides. These technologies significantly improve the efficiency and sustainability of agricultural practices by reducing waste and environmental impact. AI complements these advancements by analyzing complex datasets from various sources, including nanosensors, to provide actionable insights. Machine learning models and deep learning techniques are employed to predict crop health, weather patterns, and optimal resource allocation, enhancing farmers’ decision-making processes. The chapter demonstrates the potential for developing sophisticated, responsive agricultural systems that boost productivity and contribute to environmental conservation by integrating AI and nanotechnology. This interdisciplinary approach to farming represents a significant leap forward in addressing global food security challenges while promoting sustainable agricultural practices.