A Review of Discrete Element Method Applications in Soil–Plant Interactions: Challenges and Opportunities
Yuyuan Tian,
Zhiwei Zeng () and
Yuan Xing
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Yuyuan Tian: Department of Agricultural Engineering Technology, University of Wisconsin-River Falls, River Falls, WI 54022, USA
Zhiwei Zeng: Department of Agricultural Engineering Technology, University of Wisconsin-River Falls, River Falls, WI 54022, USA
Yuan Xing: Department of Engineering & Technology, University of Wisconsin-Stout, Stout, WI 54751, USA
Agriculture, 2024, vol. 14, issue 9, 1-20
Abstract:
The discrete-element method (DEM) has become a pivotal tool for investigating soil–plant interactions in agricultural and environmental engineering. This review examines recent advancements in DEM applications, focusing on both the challenges and opportunities that shape future research in this field. This paper first explores the effectiveness of DEM in simulating soil and plant materials, including seeds, roots, and residues, highlighting its role in understanding interactions that affect agricultural practices. Challenges such as long computation times and the complexity of determining accurate contact parameters are discussed, alongside emerging methods like machine learning that offer potential solutions. Notable advancements include the integration of machine learning algorithms for contact parameter estimation, the use of expanded particle models for dynamic processes, and the development of new techniques for detailed post-processing of DEM simulations. The review also identifies key future research directions, including the incorporation of environmental factors such as air and water, and the exploration of residue management for carbon storage and erosion prevention. By addressing these challenges and seizing these opportunities, future research can enhance the accuracy and applicability of DEM models, advancing our understanding of soil–plant interactions and contributing to more sustainable agricultural and environmental practices.
Keywords: discrete-element method; soil–plant interactions; contact models; calibration (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
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