Abstract

This research solves the optimization of agricultural machinery routes to help the agricultural sector make decisions with predetermined constraints. The purpose of Agricultural Route Planning (ARP), is to maximize the efficiency of the path used by agricultural machinery by reducing the amount of distance covered by the machine in headland regions. Particle Swarm Optimization (PSO) algorithm is utilized by representing nodes for each track in a farm field. The finding of the experiments demonstrate that the improved version of PSO is capable of achieving shorter distances than the default configuration of PSO. Moreover, the application of the proposed algorithm is superior to manual operation in terms of performance in the agricultural sector.

Original languageEnglish
Title of host publication2022 5th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages503-507
Number of pages5
ISBN (Electronic)9781665455121
DOIs
Publication statusPublished - 2022
Event5th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2022 - Virtual, Online, Indonesia
Duration: 8 Dec 20229 Dec 2022

Publication series

Name2022 5th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2022

Conference

Conference5th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2022
Country/TerritoryIndonesia
CityVirtual, Online
Period8/12/229/12/22

Keywords

  • agriculture
  • particle swarm optimization
  • route planning

Fingerprint

Dive into the research topics of 'Solving Agricultural Route Planning with Improved Particle Swarm Optimization'. Together they form a unique fingerprint.

Cite this