Computational and systems plant biology combine data science and biology to unravel complex plant processes. This session will explore bioinformatics tools, systems biology approaches, and predictive modeling. Attendees will learn how omics integration—genomics, transcriptomics, proteomics, and metabolomics—provides a holistic view of plant functions. The session highlights how computational methods reveal gene networks and metabolic pathways. Researchers will present studies on data-driven discovery of stress responses and developmental regulation. Attendees will gain insights into predictive modeling for plant growth and yield under different conditions. The session emphasizes how big data and artificial intelligence are transforming plant research. Attendees will also explore computational approaches for studying molecular interactions. Case studies will illustrate the role of plant informatics in accelerating crop improvement. This session bridges biology, computer science, and systems research, offering powerful tools for advancing modern plant science.