Alfath, Fathur Attariq (2023) Identifikasi Penyakit pada Daun Tanaman Jambu Kristal Menggunakan Pengolahan Citra Digital. Other thesis, Universitas Islam Riau.

Text 183510340.pdf - Submitted Version Restricted to Registered users only Download (6MB) | Request a copy

Abstract

Diseases of crystal guava plants lead to decreased yields. Farmers have difficulty getting maximum yields due to diseases that attack during the growth period. Diseases of crystal guava plants can cause a decrease in crop yields and threaten the sustainability of agriculture. Therefore, a system is needed that can accurately and efficiently identify diseases in crystal guava leaves. Identification of diseases on the leaves of crystal guava plants using image processing is needed to recognize the types of diseases that attack in general, namely Soot Dew and Red Rust. The identification process begins with the image acquisition stage using a camera. Then, the acquired image will be processed in the preprocessing stage using the Resize and Mean Filtering methods. Then at the segmentation stage using the HSV (Hue, Saturation, and Value) color space thresholding method. Next, the image is extracted using Gray Level Co-Occurrence (GLCM) feature extraction, then the feature extraction results will be processed at the classification stage using the KNearest Neighbor (KNN) method. The results of the system in identifying image data on the leaves of crystal guava plants resulted in an accuracy rate of 86%. From the identification process, it can be concluded that the system process in identifying crystal guava plant leaf diseases well and distinguishing the types of diseases easily.

Actions (login required)

View Item