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Scheduling of Collaborative Vegetable Harvesters and Harvest-Aid Vehicles on Farms

Xiao Han, Huarui Wu (), Huaji Zhu, Jingqiu Gu, Wei Guo and Yisheng Miao
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Xiao Han: National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
Huarui Wu: National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
Huaji Zhu: National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
Jingqiu Gu: National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
Wei Guo: National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
Yisheng Miao: National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China

Agriculture, 2024, vol. 14, issue 9, 1-19

Abstract: 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.

Keywords: vegetables in the field/greenhouse; non-productive waiting; collaborative of harvesting and transportation; discrete multi-objective optimization (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
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