The development in the digital intelligence era necessitates the restructuring of course knowledge systems. Based on the current status and challenges within botany courses for landscape architecture majors, this paper analyzes opportunities for transformation facilitated by digital-intelligent technologies. It proposes a pedagogically oriented approach for constructing a knowledge graph of landscape plants. We utilize the textbook Landscape Plants Science as a case study. By constructing datasets, extracting entities, and visualizing knowledge, we create a multidimensional knowledge network encompassing “morphological traits - ecological habits - landscape functions.” The approach successfully integrates 756 scattered plant entities and their attributes into a visual knowledge graph. Finally, we analyze the construction outcomes of the landscape plants knowledge graph and its pedagogical implementations, and explore applications such as smart tutoring systems, AI Q&A assistants, and platform enhancements for curriculum reform, providing practical references for digital-intelligent teaching transformation in landscape architecture education.