Identification of Bacterial Leaf Blight and Brown Spot Disease in Rice Plants with Image Processing Approach
DOI:
https://doi.org/10.26555/jiteki.v5i2.14136Keywords:
Bacterial Leaf Blight, Brown Spot, GLCM, Image Processing,Abstract
In agriculture, technology can provide benefits to farmers. However, at present there are still very few farmers who use technology, especially computerization in their agricultural processes, such as the identification of diseases in rice plants, there are still many rice farmers who cannot recognize and distinguish the types of diseases in rice plants. Research on the identification of bacterial leaf blight and brown spots on rice plants has carried out before, but the accuracy rate is only 70%. This research developed a system to identify bacterial leaf blight and brown spot in rice plants through leaf images with an image processing approach. Image of affected rice leaves is segmented first using K-Means Clustering, then the texture features are extracted using the Gray Level Co-Occurrence Matrix (GLCM) with features extracted in the form of energy, contrast, correlation, homogeneity and shape pattern characteristics using metric and eccentricity features, then identified using Euclidean Distance. The training data used 40 images for each disease and 12 images for each disease. The test results show that the system has a better level of accuracy than previous studies that reached 100% with a Mean Squared Error (MSE) value of 0.007282214.References
S. Zahrah, R. Saptono, and E. Suryani, “Identifikasi Gejala Penyakit Padi Menggunakan Operasi Morfologi Citra,†in SNIK - Seminar Nasional Ilmu Komputer, 2016, pp. 100–106 [Online]. Available: http://ilkom.unnes.ac.id/snik/prosiding/2016/16. SNIK_339_Identifikasi Penyakit Padi.pdf
D. R. Priindaryanti, “Pengenalan Pola Citra Penyakit Tanaman Padi Pada Daun Menggunakan Gabor Wavelet Dan Algoritma K-Means,†Yogyakarta, 2017 [Online]. Available: https://repository.usd.ac.id/8964/2/115314037_full.pdf
M. Widyaningsih, “Identifikasi Kematangan Buah Apel Dengan Gray Level Co-Occurrence Matrix (GLCM),†Jurnal SAINTEKOM, vol. 6, no. 1, pp. 71–88, 2017. DOI: 10.33020/saintekom.v6i1.7
M. M. PAMUJI and S. ‘Uyun, “Identifikasi Citra Kayu Jati Dan Kayu Akasia Menggunakan GLCM Dan Algoritma Perceptron,†Yogyakarta, 2017 [Online]. Available: http://digilib.uin-suka.ac.id/26709/
R. A. Surya, A. Fadlil, and A. Yudhana, “Ekstraksi Ciri Metode Gray Level Co-Occurrence Matrix (GLCM) dan Filter Gabor untuk Klasifikasi citra Batik Pekalongan,†JPIT-Jurnal Informatika:Jurnal Pengembangan IT, vol. 2, no. 2, pp. 23–26, 2017 [Online]. DOI: http://dx.doi.org/10.30591/jpit.v2i2.520
K. N. Setiawan and I. M. S. Putra, “Klasifikasi Citra Mammogram Menggunakan Metode K-Means, GLCM, dan Support Vector Machine (SVM),†MERPATI-Menara Penelitian Akademika Teknologi Informasi, vol. 6, no. 1, pp. 13–24, 2018 [Online]. Available: https://ojs.unud.ac.id/index.php/merpati/article/view/40933
H. Bethaningtyas, H. Naufal, and G. W. Fajarianto, “Pengenalan Jenis Seragam Loreng Tni Menggunakan Kombinasi Eccentricity Dan Metric,†TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika, vol. 2, no. 2, pp. 1–8, Dec. 2018 [Online]. DOI: 10.25124/tektrika.v2i2.1667ash
H. N. Ashshidiqi, H. Bethaningtyas, D. Kusumaningrum, F. T. Elektro, and P. Citra, “Identifikasi Pada Seragam Personel Militer Menggunakan Image Processing,†2017, vol. 4, no. 1, pp. 563–571 [Online]. Available: https://openlibrary.telkomuniversity.ac.id/home/epublication/id/116.html
M. Syam, Suparyono, Hermanto, and S. D. Wuryandari, Masalah Lapang Hama, Penyakit, dan Hara pada Padi. Jakarta, 2011.
Sudir, B. Nuryanto, and T. S. Kadir, “Epidemiologi , Patotipe , dan Strategi Pengendalian Penyakit,†IPTEK TANAMAN PANGAN, vol. 7, no. 2, pp. 79–87, 2012 [Online]. Available: http://ejurnal.litbang.pertanian.go.id/index.php/ippan/article/view/2562
Y. B. Paradisa, E. B. M. Adi, S. Indriyani, Y. Sulistyowati, Suprihanto, and E. S. Muylaningsih, “Inventarisasi Penyakit Pada 73 Galur Padi Hasil Persilangan Berdasarkan Gejala Serangan,†in Prosiding Seminar Nasional Biodiversitas Untuk Kesehatan dan Keberlanjutan Kualitas Ekosistem Jakarta, 2016, pp. 191–204 [Online]. Available: http://biologi.unas.ac.id/publikasi-biologi/biodiversitas-untuk-kehidupan/
S. Saifudin and A. Fadlil, “Sistem Identifikasi Citra Kayu Berdasarkan Tekstur Menggunakan Gray Level Coocurrence Matrix ( GLCM ),†SINERGI, vol. 19, no. 3, p. 181, Oct. 2015 [Online]. DOI: 10.22441/sinergi.2015.3.003
A. Kadir and A. Susanto, Teori dan Aplikasi Pengolahan Citra. Yogyakarta: ANDI Publisher, 2012.
R. Jain, R. Kasturi, and B. G. Schunck, Machine vision. New York: McGraw-Hill, 1995.
R. F. Cooper, M. A. Wilk, S. Tarima, and J. Carroll, “Evaluating Descriptive Metrics of the Human Cone Mosaic,†vol. 57, no. 7, pp. 2992–3001. DOI: 10.1167/iovs.16-19072
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