Abstract: As a pivotal technology in intelligent agricultural equipment engineering under background of accelerated agricultural modernization and intelligent transformation, intelligent sensing and detection technology plays a vital role in advancing comprehensive rural revitalization．However, Intelligent Sensing and Detection Technology course encompasses multidisciplinary knowledge．Its traditional teaching approach emphasizes theoretical instruction over practical applications, and fails to align with professional demands of intelligent agricultural equipment engineering．To address issues, relying on academic-research integration teaching practices, recommendations for the intelligent agricultural equipment engineering program were proposed, including establishment of a distinctive teaching theory system, a virtual-physical integrated experimental course architecture, and a practice-oriented academic-research integration teaching modules for practical courses, all grounded in research-practice integrated teaching practices．Through practical teaching cases such as precision pasture reseeding equipment, automatic maize stubble-avoidance machinery, and safflower harvesting robots were created to cultivate students' mastery of fundamental principles and practical innovation capabilities in Intelligent Sensing and Detection Technology, to meet intelligent agricultural equipment engineering field, facilitate deep integration of technology and production in intelligent agricultural machinery, and provide talent support for intelligent agricultural equipment engineering advancement．