DBSCAN-MFI Based Improved Clustering for Field-Road Classification in Mechanical Residual Film Recovery

Huimin Fang, Jinshan Hu, Xuegeng Chen, Qingyi Zhang () and Jing Bai
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Huimin Fang: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Jinshan Hu: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Xuegeng Chen: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Qingyi Zhang: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Jing Bai: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China

Agriculture, 2025, vol. 15, issue 15, 1-20

Abstract: Accurate accounting of residual film recovery operation areas is essential for supporting targeted implementation of white pollution control policies in cotton fields and serves as a critical foundation for data-driven prevention and control of soil contamination. To address the reliance on manual screening during preprocessing in traditional residual film recovery area calculation methods, this study proposes a DBSCAN-MFI field-road trajectory segmentation method. This approach combines DBSCAN density clustering with multi-feature inference. Building on DBSCAN clustering, the method incorporates a convex hull completion strategy and multi-feature inference rules utilizing speed-direction feature filtering to automatically identify and segment field and road areas, enabling precise operation area calculation. Experimental results demonstrate that compared to DBSCAN, OPTICS, the Grid-Based Method, and the DBSCAN-FR algorithm, the proposed algorithm improves the F1-Score by 7.01%, 7.13%, 7.28%, and 4.27%, respectively. Regarding the impact on operation area calculation, segmentation accuracy increased by 23.61%, 25.14%, 20.71%, and 6.87%, respectively. This study provides an effective solution for accurate field-road segmentation during mechanical residual film recovery operations to facilitate subsequent calculation of the recovered area.

Keywords: residual film recycling; operation trajectory; DBSCAN density clustering; trajectory segmentation (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: 2025
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