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Keywords = kale root stubble

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16 pages, 3675 KB  
Article
Calibration and Modeling of Parameters for Kale Root Stubble Simulation Based on the Discrete Unit Method
by Jun Chen, Pin Jiang, Jianfei Liu, Xiaocong Zhang and Yixin Shi
Agronomy 2023, 13(9), 2298; https://doi.org/10.3390/agronomy13092298 - 31 Aug 2023
Cited by 1 | Viewed by 1466
Abstract
Today, the post-harvest root stubble treatment of kale in Hunan mostly uses manual pulling and centralized treatments, which are inefficient and labor-intensive. In this study, to realize the direct mechanical crushing of kale root stubble and return it to the field after harvesting, [...] Read more.
Today, the post-harvest root stubble treatment of kale in Hunan mostly uses manual pulling and centralized treatments, which are inefficient and labor-intensive. In this study, to realize the direct mechanical crushing of kale root stubble and return it to the field after harvesting, we established an accurate simulation model of kale root stubble by creating a model of the root stubble of kale and calibrating the parameters of the simulation. This study took Jingfeng No. 1 kale stubble as the research object and used EDEM2021.2 simulation software to study the parameters of the kale stubble-crushing simulation model. The peak shear force of the sheared kale root stubble was used as the test data, and the most significant factors affecting the shear force were screened out through the Plackett–Burman test for the Design-Expert design. In addition, the steepest climb test and Box–Behnken test were used to accurately assess the factor data to obtain the best simulation value, which was 861.02 N. The relative error between the simulated and measured values was 0.61%. Finally, an accurate simulation stubble model was established by combining the best simulation parameters with the measured stubble length and diameter. This model provides a theoretical basis and technical support for more in-depth research on stubble simulation and mechanized stubble return. Full article
(This article belongs to the Section Precision and Digital Agriculture)
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