随着人工智能时代的到来，“教育+人工智能”的教学模式已在教育领域兴起。基于人工智能构建一个综合性的专业图谱平台，以全面展示、深度分析和科学管理为核心，为教学管理和学生培养提供强有力的支持。本文基于党的二十大报告提出的“推进教育数字化”背景，从理论框架、研究方法和数据分析三个方面分析了国内外专业图谱构建的研究现状，强调了农业资源与环境专业图谱构建对提高教学质量的重要作用及意义，详细概述了构建专业图谱的11个业务模块及功能，从数据收集、抽取与整合、业务模块构建、专业图谱评估与优化三个方面阐述了专业图谱构建的设计方案，并提出了基于专业图谱创新的教学模式。通过专业图谱构建，可为农业资源与环境专业的招生、人才培养、就业的全过程提供系统、便捷、可视化的指导，也为其他专业构建专业图谱打造一个模式样板。

With the advent of the era of artificial intelligence, the teaching model of "education + artificial intelligence" has emerged in the field of education. Based on artificial intelligence, a comprehensive professional graph platform is constructed, with comprehensive display, in-depth analysis and scientific management as the core, providing strong support for teaching management and student training. Based on the background of "promoting the digitalization of education" proposed in the report of the 20th National Congress of the Communist Party of China, this paper analyzes the research status of professional graph construction at home and abroad from three aspects: theoretical framework, research methods and data analysis, emphasizes the important role and significance of professional graph construction of agricultural resources and environment to improve teaching quality, outlines in detail the 11 business modules and functions of professional graph construction, and expounds the design scheme of professional graph construction from three aspects: data collection, extraction and integration, business module construction, and professional graph evaluation and optimization. And put forward an innovative teaching model based on professional graph. Through the construction of professional map, it can provide systematic, convenient and visual guidance for the whole process of enrollment, talent training and employment of agricultural resources and environment majors, and also create a model model for other majors to build professional maps.