Agriculture, as we know it, is facing unprecedented challenges due to the impact of climate change. The increasing frequency of extreme weather events, shifting rainfall patterns, and rising temperatures pose a significant threat to food security and the sustainability of crop production on a global scale. This chapter delves into the critical intersection of modern technologies and climate policy as a response to these pressing challenges. It explores the integration of advanced tools, including remote sensing, machine learning, IoT, and artificial intelligence, to monitor, manage, and adapt to the physiological aspects of plant stress. Through a detailed exploration of innovative approaches, it highlights how these technologies can enhance agricultural resilience and align with climate policies. This chapter serves as a practical guide for policymakers, researchers, and practitioners seeking to navigate the evolving landscape of sustainable agriculture in an era of climate uncertainty. It emphasizes the importance of combining advanced technologies with effective policy measures to mitigate the impact of crop stress, ensuring that agriculture remains productive and resilient in the face of changing climatic conditions.