文献类型： 外文期刊
作者： Han, Xiao 1 ; Wu, Huarui 1 ; Zhu, Huaji 1 ; Gu, Jingqiu 1 ; Guo, Wei 1 ; Miao, Yisheng 1 ;
作者机构： 1.Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
2.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
3.Minist Agr & Rural Affairs, Lab Digital Village Technol, Beijing 100097, Peoples R China
关键词： vegetables in the field/greenhouse; non-productive waiting; collaborative of harvesting and transportation; discrete multi-objective optimization
期刊名称：AGRICULTURE-BASEL （ 影响因子：3.6； 五年影响因子：3.8 ）
ISSN：
年卷期： 2024 年 14 卷 9 期
页码：
收录情况： SCI
摘要： Transporting harvested vegetables in the field or greenhouse is labor-intensive. The utilization of small harvest-aid vehicles can reduce non-productive time for farmers and improve harvest efficiency. This paper models the process of harvesting vegetables in response to non-productive waiting delays caused by the scheduling of harvest-aid vehicles. Taking into consideration harvesting speed, harvest-aid vehicle capacity, and scheduling conflicts, a harvest-aid vehicle scheduling model is constructed to minimize non-production waiting time and coordination costs. Subsequently, to meet the collaborative needs of harvesters, this paper develops a discrete multi-objective Jaya optimization algorithm (DMO-Jaya), which combines an opposition-based learning mechanism and a long-term memory library to obtain scheduling schemes suitable for agricultural environments. Experiments show that the studied model can schedule harvest-aid vehicles without conflicts. Compared to the NSGA-II algorithm and the MMOPSO, the DMO-Jaya algorithm demonstrates a better diversity of solutions, resulting in a shorter non-productive waiting time for harvesters. This research provides a reference model for improving the efficiency of vegetable harvesting and transportation.
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