Penggunaan Deep Learning dalam Deteksi Dini Penyakit Tanaman Menggunakan Citra Digital

Abstract

Early detection of plant diseases is important in precision agriculture. This study develops a deep learning model based on Convolutional Neural Network (CNN) to identify plant diseases from leaf images. The dataset contains thousands of images of leaves infected with various diseases. The test results show that the detection accuracy reaches 92%, with efficient processing time, allowing implementation on mobile-based applications.