Pest Detection on Plants with YOLOv8: Methods and Results

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This research paper, published in 'Jurnal Pengembangan Teknologi,' explores the use of YOLOv8 for pest detection to enhance agricultural sustainability. The study, authored by Santoso, Dewi, and Santoso, highlights the computational challenges of manual pest identification and positions YOLOv8 as a viable solution for real-time detection. The methodology encompasses an analytical study using the IP102 dataset, with data preprocessing and conversion as critical steps. Optimal configurations...