Harnessing AI-Nano Approaches Towards Smart, Precision, and Sustainable Agriculture

Agriculture remains a keystone of global economic stability and employment, yet it faces mounting challenges from population growth, climate change, urbanization, and the unsustainable use of agrochemicals. Excessive reliance on conventional fertilizers and pesticides has led to soil degradation, biodiversity loss, declining soil fertility, and reduced crop productivity worldwide. Precision agriculture (PA), also known as smart or site-specific crop management, has emerged as a sustainable solution by enabling accurate, data-driven management of agricultural inputs. The integration of artificial intelligence (AI) and nanotechnology significantly enhances the effectiveness of precision agriculture by improving accuracy, efficiency, and environmental performance. AI-driven systems leverage data from sensors, satellites, drones, and weather forecasts to optimize irrigation, fertilization, pest management, and yield prediction in real time. Nanotechnology complements these approaches through nano-enabled fertilizers, pesticides, biosensors, and targeted delivery systems that improve nutrient-use efficiency, enable early stress and disease detection, and minimize environmental contamination. Nano-biosensors play a critical role in real-time monitoring of soil health, crop physiology, contaminants, and microclimatic conditions, supporting informed decision-making in PA frameworks. Furthermore, the convergence of AI, nanotechnology, IoT, and cloud computing facilitates automated, scalable, and climate-resilient farming systems. Despite their transformative potential, challenges such as high initial costs, regulatory uncertainty, digital infrastructure gaps, and concerns over nanomaterial safety remain barriers to widespread adoption, particularly for smallholder farmers. This chapter highlights the synergies between AI, nanotechnology, and precision agriculture, discusses their applications, benefits, and limitations, and outlines future research directions needed to achieve sustainable, efficient, and resilient agricultural systems.