Pengujian Akurasi Aplikasi Bioleaf Dalam Menentukan Luas Serangan Hama Pemakan Daun

Abstract

Pest attacks on plant leaves significantly reduce agricultural productivity, as leaves are vital for photosynthesis and serve as early indicators of physiological damage. Therefore, measuring leaf damage is essential for assessing plant health and the effectiveness of pest control. Conventional methods such as millimeter paper, gravimetry, and planimetry are often impractical and prone to error, especially with large sample sizes, while Leaf Area Meter (LAM) are limited by high costs. BioLeaf, a smartphone-based application, offers a practical, efficient, and user-friendly digital solution for measuring leaf damage. This study aimed to evaluate the accuracy of BioLeaf in determining pest damage on leaves, conducted in Kampung Carang Pulang, Cikarawang Village, Dramaga District, Bogor Regency, and at the Plant Clinic Laboratory, Department of Plant Protection, Faculty of Agriculture, IPB University. Fourteen leaf samples with varying types and levels of damage were analyzed using five treatments and three devices (a camera, smartphone 1, and smartphone 2). Measurements from BioLeaf were compared to manual methods and ImageJ software to assess accuracy. The results showed that BioLeaf has high accuracy and can serve as a practical and efficient alternative for monitoring leaf damage in the field, providing benefits for both farmers and researchers.