Path Planning for Full Coverage of Farmland Operations in Hilly and Mountainous Areas Based on the Dung Beetle Optimization Algorithm

This study aims to address the issues of full-coverage path planning in single fields and optimal traversal order in multi-fields in hilly, mountainous areas. To this end, it proposes a full-coverage path planning method based on an improved DBO algorithm. Using the digital elevation model to construct the farmland model, the energy consumption model is introduced into single-field planning to determine the optimal operating direction angle for full-coverage path planning with optimal energy consumption. To address the issues of the traditional DBO algorithm easily falling into a local optimum and the lack of information interaction among populations, a multi-strategy improved DBO algorithm is proposed to determine the optimal traversal sequence for multiple fields. Tent chaotic mapping is used to initialize the population and the Osprey optimization algorithm and adaptive T-perturbation distribution strategy are integrated to enhance the foraging behavior of small dung beetles. This gives the algorithm good global exploration capabilities in the initial stage and strong local exploitation capabilities in the later stage. The simulation results show that the total energy consumption of energy-optimal path planning is 5.62 × 104 J, which is 19.93% less than the optimal path length. The traversal order solved by the improved DBO algorithm saves 9.2% more energy than the original algorithm, demonstrating a significant energy-saving effect.

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Publication Details

Journal
Applied Sciences
Published
2025-08-20
DOI
https://doi.org/10.3390/app15169157
Citations
1
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
1.28
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article

Path Planning for Full Coverage of Farmland Operations in Hilly and Mountainous Areas Based on the Dung Beetle Optimization Algorithm

Yan Jin, Huarong Du, Fujun Zhou, Xiaohu Lin
1 citations
Applied Sciences
Robotic Path Planning Algorithms
1.28
article

Path Planning for Full Coverage of Farmland Operations in Hilly and Mountainous Areas Based on the Dung Beetle Optimization Algorithm

Yan Jin, Huarong Du, Fujun Zhou, Xiaohu Lin
article en
1 citations

Abstract

This study aims to address the issues of full-coverage path planning in single fields and optimal traversal order in multi-fields in hilly, mountainous areas. To this end, it proposes a full-coverage path planning method based on an improved DBO algorithm. Using the digital elevation model to construct the farmland model, the energy consumption model is introduced into single-field planning to determine the optimal operating direction angle for full-coverage path planning with optimal energy consumption. To address the issues of the traditional DBO algorithm easily falling into a local optimum and the lack of information interaction among populations, a multi-strategy improved DBO algorithm is proposed to determine the optimal traversal sequence for multiple fields. Tent chaotic mapping is used to initialize the population and the Osprey optimization algorithm and adaptive T-perturbation distribution strategy are integrated to enhance the foraging behavior of small dung beetles. This gives the algorithm good global exploration capabilities in the initial stage and strong local exploitation capabilities in the later stage. The simulation results show that the total energy consumption of energy-optimal path planning is 5.62 × 104 J, which is 19.93% less than the optimal path length. The traversal order solved by the improved DBO algorithm saves 9.2% more energy than the original algorithm, demonstrating a significant energy-saving effect.

Applied SciencesVol. 15(16)
Beibu Gulf University (CN)
Openalex Percentile: Top 17%
Robotic Path Planning Algorithms
1.28
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Path Planning for Full Coverage of Farmland Operations in Hilly and Mountainous Areas Based on the Dung Beetle Optimization Algorithm — Yan Jin, Huarong Du, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS