ABSTRACT
The advancement of modern agriculture has witnessed a paradigm shift with the convergence of machine learning (ML) and nanotechnology, giving rise to Agriculture 5.0—a new era of precision farming and sustainable agricultural practices. This chapter delves into the transformative potential of integrating ML and nanotechnology in the domain of smart farming, focusing on enhanced crop performance, real-time monitoring, and data-driven decisionmaking. The chapter begins by exploring the foundational concepts of nanobots and their applications in precision agriculture. These minuscule nanomachines are designed to revolutionize nutrient delivery, soil analysis, and pest management, unlocking the door to resource-efficient and environmentally conscious farming. Nano-enhanced fertilizers and nanopesticides, empowered by ML algorithms, offer targeted nutrient release and intelligent pest control, optimizing crop yield while reducing ecological footprints. A deep dive into the realm of nanosensors further showcases their pivotal role in real-time monitoring and prediction. ML algorithms synergize with nanosensors to continuously collect and analyze critical data on soil health, nutrient levels, and environmental conditions. This fusion of realtime insights and predictive analytics empowers farmers to make informed decisions promptly, fostering precision agriculture and minimizing resource wastage. ML’s prowess extends beyond data analysis, as it collaborates with nanotechnology to optimize nanomaterial usage in crop production. By harnessing ML-driven dosing and application strategies, nanomaterials can be deployed with precision, minimizing environmental impact and maximizing agricultural efficiency. The chapter also explores smart nanomaterials that respond to triggers, ensuring controlled nutrient release and sustainable crop nutrition.
