Experimental study on DEM parameters calibration for organic fertilizer by the particle swarm optimization − backpropagation neural networks

Experimental study on DEM parameters calibration for organic fertilizer by the particle swarm optimization − backpropagation neural networks

Abstract In order to calibrate the properties of the organic fertilizer particles, this work employs an integrated strategy that combines simulations, machine vision techniques, and physical experiments. Through physical testing, the fundamental physical characteristics of the organic fertilizer par...

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Bibliographic Details
Main Authors: Fandi Zeng, Limin Liu, Yinzeng Liu, Hongbin Bai, Chunxiao Li, Zhihuan Zhao
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Organic fertilizer particles
Physical property
The discrete element model
Repose angle
The PSO − BP algorithm
Online Access:https://doi.org/10.1038/s41598-025-11827-9
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https://doi.org/10.1038/s41598-025-11827-9

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