A binary gridding path-planning method for plant-protecting UAVs on irregular fields
The use of plant-protecting unmanned aerial vehicles (UAVs) for pesticide spraying is an essential operation in modern agriculture. The balance between reducing pesticide consumption and energy consumption is a significant focus of current research in the path-planning of plant-protecting UAVs. In t...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2023-09-01
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| Series: | Journal of Integrative Agriculture |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095311923000412 |
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| author | Wang-ying XU Xiao-bing YU Xin-yu XUE |
| author_facet | Wang-ying XU Xiao-bing YU Xin-yu XUE |
| author_sort | Wang-ying XU |
| collection | DOAJ |
| description | The use of plant-protecting unmanned aerial vehicles (UAVs) for pesticide spraying is an essential operation in modern agriculture. The balance between reducing pesticide consumption and energy consumption is a significant focus of current research in the path-planning of plant-protecting UAVs. In this study, we proposed a binarization multi-objective model for the irregular field area, specifically an improved non-dominated sorting genetic algorithm–II based on the knee point and plane measurement (KPPM-NSGA-ii). The binarization multi-objective model is applied to convex polygons, concave polygons and fields with complex terrain. The experiments demonstrated that the proposed KPPM-NSGA-ii can obtain better results than the unplanned path method whether the optimization of pesticide consumption or energy consumption is preferred. Hence, the proposed algorithm can save energy and pesticide usage and improve the efficiency in practical applications. |
| format | Article |
| id | doaj-art-df085fc56f204983a361decc7db7bee5 |
| institution | Kabale University |
| issn | 2095-3119 |
| language | English |
| publishDate | 2023-09-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Journal of Integrative Agriculture |
| spelling | doaj-art-df085fc56f204983a361decc7db7bee52025-08-20T03:57:55ZengKeAi Communications Co., Ltd.Journal of Integrative Agriculture2095-31192023-09-012292796280910.1016/j.jia.2023.02.029A binary gridding path-planning method for plant-protecting UAVs on irregular fieldsWang-ying XU0Xiao-bing YU1Xin-yu XUE2School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 214000, P.R.ChinaSchool of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 214000, P.R.China; Correspondence YU Xiao-bingNanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 214000, P.R.ChinaThe use of plant-protecting unmanned aerial vehicles (UAVs) for pesticide spraying is an essential operation in modern agriculture. The balance between reducing pesticide consumption and energy consumption is a significant focus of current research in the path-planning of plant-protecting UAVs. In this study, we proposed a binarization multi-objective model for the irregular field area, specifically an improved non-dominated sorting genetic algorithm–II based on the knee point and plane measurement (KPPM-NSGA-ii). The binarization multi-objective model is applied to convex polygons, concave polygons and fields with complex terrain. The experiments demonstrated that the proposed KPPM-NSGA-ii can obtain better results than the unplanned path method whether the optimization of pesticide consumption or energy consumption is preferred. Hence, the proposed algorithm can save energy and pesticide usage and improve the efficiency in practical applications.http://www.sciencedirect.com/science/article/pii/S2095311923000412plant-protecting UAVpath-planningmulti-objective optimizationgridizationPareto optimal |
| spellingShingle | Wang-ying XU Xiao-bing YU Xin-yu XUE A binary gridding path-planning method for plant-protecting UAVs on irregular fields Journal of Integrative Agriculture plant-protecting UAV path-planning multi-objective optimization gridization Pareto optimal |
| title | A binary gridding path-planning method for plant-protecting UAVs on irregular fields |
| title_full | A binary gridding path-planning method for plant-protecting UAVs on irregular fields |
| title_fullStr | A binary gridding path-planning method for plant-protecting UAVs on irregular fields |
| title_full_unstemmed | A binary gridding path-planning method for plant-protecting UAVs on irregular fields |
| title_short | A binary gridding path-planning method for plant-protecting UAVs on irregular fields |
| title_sort | binary gridding path planning method for plant protecting uavs on irregular fields |
| topic | plant-protecting UAV path-planning multi-objective optimization gridization Pareto optimal |
| url | http://www.sciencedirect.com/science/article/pii/S2095311923000412 |
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