Plant diseases pose a major threat to global food security, with increasing severity under climate change and intensive agriculture. Conventional approaches to disease management have long relied on synthetic chemical pesticides, but these methods contribute to environmental degradation, pesticide resistance, and human health risks. Emerging eco-innovations rooted in green chemistry principles and powered by artificial intelligence offer sustainable solutions for plant disease management. Green chemistry facilitates the development of biodegradable agrochemicals, natural-product-based fungicides, and smart nanocarriers, while AI enhances early disease detection, outbreak prediction, and eco-design of bioactive compounds. This paper explores the integration of green chemistry principles, such as biodegradable agrochemicals, natural product discovery, and nanotechnology with AI-driven tools for disease diagnosis, prediction, and sustainable crop protection. Together, these approaches pave the way for climate-smart agriculture and long-term sustainability.