@inproceedings{d59d134b44fd49ee92798cd36d0a9e0a,
title = "Solving Agricultural Route Planning with Improved Particle Swarm Optimization",
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.",
keywords = "agriculture, particle swarm optimization, route planning",
author = "Amalia Utamima and Nita Fernanda and Edwin Riksakomara",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 5th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2022 ; Conference date: 08-12-2022 Through 09-12-2022",
year = "2022",
doi = "10.1109/ISRITI56927.2022.10052817",
language = "English",
series = "2022 5th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "503--507",
booktitle = "2022 5th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2022",
address = "United States",
}