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Article

Enhanced Multi-Threshold Otsu Algorithm for Corn Seedling Band Centerline Extraction in Straw Row Grouping

1
College of Information and Technology & Smart Agriculture Research Institute, Jilin Agricultural University, Changchun 130118, China
2
Jilin Provincial Academy of Forestry Sciences, Changchun 130033, China
3
College of Engineering and Technology, Jilin Agricultural University, Changchun 130118, China
*
Author to whom correspondence should be addressed.
Agronomy 2025, 15(7), 1575; https://doi.org/10.3390/agronomy15071575 (registering DOI)
Submission received: 30 May 2025 / Revised: 22 June 2025 / Accepted: 25 June 2025 / Published: 27 June 2025

Abstract

Straw row grouping is vital in conservation tillage for precision seeding, and accurate centerline extraction of the seedling bands enhances agricultural spraying efficiency. However, the traditional single-threshold Otsu segmentation struggles with adaptability and accuracy under complex field conditions. To overcome these issues, this study proposes an adaptive multi-threshold Otsu algorithm optimized by a Simulated Annealing-Enhanced Differential Evolution–Whale Optimization Algorithm (SADE-WOA). The method avoids premature convergence and improves population diversity by embedding the crossover mechanism of Differential Evolution (DE) into the Whale Optimization Algorithm (WOA) and introducing a vector disturbance strategy. It adaptively selects thresholds based on straw-covered image features. Combined with least-squares fitting, it suppresses noise and improves centerline continuity. The experimental results show that SADE-WOA accurately separates soil regions while preserving straw texture, achieving higher between-class variance and significantly faster convergence than the other tested algorithms. It runs at just one-tenth of the time of the Grey Wolf Optimizer and one-ninth of that of DE and requires only one-sixth to one-seventh of the time needed by DE-GWO. During centerline fitting, the mean yaw angle error (MEA) ranged from 0.34° to 0.67°, remaining well within the 5° tolerance required for agricultural navigation. The root-mean-square error (RMSE) fell between 0.37° and 0.73°, while the mean relative error (MRE) stayed below 0.2%, effectively reducing the influence of noise and improving both accuracy and robustness.
Keywords: straw row grouping; multi-thresholding; differential evolutionary algorithm; whale optimization algorithm; least squares; centerline straw row grouping; multi-thresholding; differential evolutionary algorithm; whale optimization algorithm; least squares; centerline

Share and Cite

MDPI and ACS Style

Liu, Y.; Du, Y.; Zhang, K.; Yan, H.; Wu, Z.; Zhang, J.; Tong, X.; Chen, J.; Li, F.; Liu, M.; et al. Enhanced Multi-Threshold Otsu Algorithm for Corn Seedling Band Centerline Extraction in Straw Row Grouping. Agronomy 2025, 15, 1575. https://doi.org/10.3390/agronomy15071575

AMA Style

Liu Y, Du Y, Zhang K, Yan H, Wu Z, Zhang J, Tong X, Chen J, Li F, Liu M, et al. Enhanced Multi-Threshold Otsu Algorithm for Corn Seedling Band Centerline Extraction in Straw Row Grouping. Agronomy. 2025; 15(7):1575. https://doi.org/10.3390/agronomy15071575

Chicago/Turabian Style

Liu, Yuanyuan, Yuxin Du, Kaipeng Zhang, Hong Yan, Zhiguo Wu, Jiaxin Zhang, Xin Tong, Junhui Chen, Fuxuan Li, Mengqi Liu, and et al. 2025. "Enhanced Multi-Threshold Otsu Algorithm for Corn Seedling Band Centerline Extraction in Straw Row Grouping" Agronomy 15, no. 7: 1575. https://doi.org/10.3390/agronomy15071575

APA Style

Liu, Y., Du, Y., Zhang, K., Yan, H., Wu, Z., Zhang, J., Tong, X., Chen, J., Li, F., Liu, M., Wang, Y., & Wang, J. (2025). Enhanced Multi-Threshold Otsu Algorithm for Corn Seedling Band Centerline Extraction in Straw Row Grouping. Agronomy, 15(7), 1575. https://doi.org/10.3390/agronomy15071575

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