Temperature-Smart Agriculture Constructed by AI Models with Nanotechnology

Temperature-smart agriculture (TSA) stands for the application of artificial intelligence (AI) and nano in such ways that promote crop resilience through optimization of temperature controls for sustainability in the face of global challenges. Predictive analytics integrating AI, IoT sensors, and digital twins enable real-time monitoring and adaptive microclimate control through improved water, nutrient, and energy use efficiency. In the same way, nanotechnology brings in various multi-functional approaches, including nano-fertilizers, nanocomposites, and nanophotonic coatings, to further enhance thermotolerance and reduce oxidative stress and balance phytohormones. The synergy of AI and nano enhances the development of temperature-responsive materials and autonomous systems, hence guaranteeing precision environmental management. Ideas about quantum AI, federated learning, and green nanotechnology have been proposed to ensure sustainable innovation with reduced ethical and environmental impacts. In general, integration of AI and nano offers a transformational framework toward climate-adaptive, resource-efficient, data-driven agricultural systems resilient against thermal fluctuations.