Diagnosa Penyakit Stroberi Pada Citra Buah Dan Daun Menggunakan Metode Convolutional Neural Network (CNN)

Intan  Sarfina

doi:10.70294/jimu.v2i03.408

Penulis

Intan Sarfina Universitas Muhammadiyah Ponorogo

DOI:

https://doi.org/10.70294/jimu.v2i03.408

Kata Kunci:

Strawberry plant, Disease, Convolutional Neural Network (CNN), Classification;

Abstrak

This research aims to develop a system that can identify diseases in strawberry plants using Convolutional Neural Network (CNN) method. Strawberry plants have high economic value but are often attacked by diseases that can lead to crop failure. The use of CNN in classifying diseases in strawberry leaf images has successfully demonstrated high accuracy. A dataset consisting of six types of strawberry diseases has been used in this study. The CNN model training process was conducted using preprocessed datasets and produced satisfactory accuracy rates. The evaluation results show that the CNN model is capable of classifying strawberry diseases with an accuracy rate of 97.5% on the training data and 96% on the validation data. The implementation of this CNN model has great potential to assist farmers in detecting diseases in strawberry plants early and reducing crop failure rates

Unduhan

Data unduhan belum tersedia.

Referensi

A. V. Efrilla, S. B. Sulistyo, K. Wijaya, P. H. Kuncoro dan A. Sudarmaji, “Klasifikasi Penyakit Pada Daun Stroberi Menggunakan K-Means Clustering dan Jaringan Syaraf Tiruan,” Jurnal Keteknikan Pertanian Tropis dan Biosistem, vol. 8, no. 2, pp. 161-170, 2020.

I. P. Wardaya dan A. Hermawan, “Penerapan Metode JST Menggunakan Fitur GLCM pada Identifikasi Penyakit Tumbuhan Stroberi,” Jurnal Ilmiah Teknik Informatika dan Sistem Informasi, vol. 12, no. 3, pp. 1046-1055, 2023.

E. L. I. P. Sari, “Revitalizing Strawberry Leaves: Developing a Tipburn and Leaf Spot Disease Detection System Through Convolution Analysis Using CNN Method,” Jurnal Ilmiah Mahasiswa Pendidikan Sejarah, vol. 8, no. 3, pp. 1468-1474, 2023.

D. Iswantoro dan D. H. UN, “Klasifikasi Penyakit Tanaman Jagung Menggunakan Metode Convolutional Neural Network (CNN),” Jurnal Ilmiah Universitas Batanghari Jambi, vol. 22, no. 2, pp. 900-905, 2022.

A. M. Lesmana, R. P. Fadhillah dan C. Rozikin, “Identifikasi Penyakit pada Citra Daun Kentang Menggunakan Convolutional Neural Network (CNN),” Jurnal Sains dan Informatika, vol. 8, no. 1, pp. 21-30, 2022.

N. Mappanganro, “Pertumbuhan Tanaman Stroberi Pada Berbagai Jenis dan Konsentrasi PupukOrganik Cair dan Urine Sapi Dengan Sistem Hidroponik Irigasi Tetes,” BIOGENESIS, vol. 1, no. 2, pp. 123-132, 2013.

J. Vicky, F. Ayu dan B. Julianto, “Implementasi Pendeteksi Penyakit pada Daun Alpukat Menggunakan Metode CNN,” PROSIDING SEMINAR NASIONAL TEKNOLOGI DAN SAINS, vol. 2, pp. 155-162, 2023.