Abstract:Discrete element method (DEM) has emerged as an important approach for investigating the operational mechanisms of agricultural equipment and optimizing their operation and structure parameters. By establishing reliable numerical models, DEM enables the simulation of interactions between agricultural equipment and agricultural materials. In recent years, scholars worldwide have developed a series of agricultural material models using DEM, achieving significant progress in simulating equipment-material interactions across various agricultural processes. The DEM modeling technologies and key parameter calibration methods for typical agricultural materials were systematically reviewed, such as soil, seeds, crop straw, fertilizers, etc. It summarized application cases of DEM in critical agricultural operations of tillage, seeding, crop management, harvesting, and post-harvest processing and storage, and equipment design research based on DEM simulations. Current challenges were critically examined: limited model accuracy and versatility across diverse soil textures and crop varieties, computational inefficiency in large-scale field simulations, insufficient coupling application with other numerical methods such as DEM-CFD, DEM-MBD and DEM-FEM. Future research directions of the application of DEM in agricultural equipment research was proposed, including improve model accuracy and universality, enhance research on basic theory and intrinsic model, increase simulation efficiency and expand its use coupling with other methods.