{"title":"A Multi-machine Cooperation Full Coverage Path Planning Method in Agriculture","authors":"Jinliang Li, Weibo Ren","doi":"10.1109/AINIT59027.2023.10212883","DOIUrl":null,"url":null,"abstract":"Agricultural machinery has become the fundamental facilities in agriculture to lighten the irrigation burden of farmers and improve agricultural efficiency. In order to realize the dispatching management of multi-machine cooperative navigation operation in complex farmland, this paper proposes a novel overall path planning method for multi-machine in multiple operation area, which can be divided into two parts: single path planning and dispatching path planning among multi-areas and multi-machines. The single path planning is addressed considering the operation distance and extra coverage of covering operation modes. The dispatching path planning problem among multi-areas and multi-machines is formulated as a mixed integer programming and optimized operation sequence is solved by improved genetic algorithm and particle swarm optimization algorithm. A real case in China is conducted to verify the feasibility of the multi-area path planning in agriculture.","PeriodicalId":276778,"journal":{"name":"2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AINIT59027.2023.10212883","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Agricultural machinery has become the fundamental facilities in agriculture to lighten the irrigation burden of farmers and improve agricultural efficiency. In order to realize the dispatching management of multi-machine cooperative navigation operation in complex farmland, this paper proposes a novel overall path planning method for multi-machine in multiple operation area, which can be divided into two parts: single path planning and dispatching path planning among multi-areas and multi-machines. The single path planning is addressed considering the operation distance and extra coverage of covering operation modes. The dispatching path planning problem among multi-areas and multi-machines is formulated as a mixed integer programming and optimized operation sequence is solved by improved genetic algorithm and particle swarm optimization algorithm. A real case in China is conducted to verify the feasibility of the multi-area path planning in agriculture.