The convergence of Artificial Neural Networks (ANNs) and nanotechnology, empowered by artificial intelligence (AI), is opening new frontiers in plant biotechnology. This emerging interdisciplinary field-AI-powered nanoinformatics, enables the design, simulation, and prediction of nanoscale interactions within plant systems with unprecedented precision. By leveraging the pattern recognition and predictive capabilities of ANNs, researchers can optimize the development of plant-compatible nanomaterials for targeted gene delivery, smart nutrient systems, and early detection of plant stress or disease through nanosensors. AI-driven nanoinformatics also enhances the analysis of complex biological datasets, facilitating breakthroughs in plant genomics, metabolomics, and phenotyping. This integrated approach accelerates crop improvement, supports climate-resilient agriculture, and fosters sustainable practices by enabling data-driven decision-making. As AI and nanotechnology continue to evolve, their combined application in plant sciences is poised to redefine how we understand, manipulate, and benefit from plant biology, marking a transformative shift in the future of agricultural biotechnology.