Modified Particle Swarm Optimization on Feature Selection for Palm Leaf Disease Classification

Modified Particle Swarm Optimization on Feature Selection for Palm Leaf Disease Classification

Palm oil plantations in Indonesia face challenges in enhancing productivity and profitability, notably due to pest attacks that reduce production. Early identification and classification of plant conditions, particularly palm oil leaves, are crucial for mitigating losses. This study explores the app...

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Bibliographic Details
Main Authors: Veri Julianto, Ahmad Rusadi Arrahimi, Oky Rahmanto, Mohammad Sofwat Aldi
Format: Article
Language:English
Published: Ikatan Ahli Informatika Indonesia 2024-12-01
Series:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:
disease identification
leaf classification
k-nearest neighbors (knn)
particle swarm optimization (pso)
computational efficiency
Online Access:https://jurnal.iaii.or.id/index.php/RESTI/article/view/6049
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