Pendampingan Penggunaan Aplikasi Pendeteksian Kematangan Jeruk Berbasis Android Untuk Petani Jeruk Desa Bulurejo Purwoharjo Banyuwangi
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Agustian Wildan, dkk. Klasifikasi Buah Jeruk Menggunakan Metode Naive Bayes Berdasarkan Analisis Tekstur dan Normalisasi Warna, Program Studi Ilmu Komputer FMIPA UNPAK – BOGOR.
H. Prabowo, “Deteksi Kondisi Kematangan Buah Jeruk Berdasarkan Kemiripan Warna Pada Ruang Warna Rgb Berbasis Android,” J. Elektron. Sist. Inf. dan Komput., vol. 3, no. 2, pp. 9–19, 2017. 118 JURNAL INFORMATIKA ISSN: 1978-0524 Vol. 14, No. 3, September 2020, pp. 112-118 Chairul Anam et al. (E-Detection of Banyuwangi Citrus Fruit Maturity...)
Anam et al. (E-Detection of Banyuwangi Citrus Fruit Maturity...)
V. Andrearczyk and P. F. Whelan, “Deep learning in texture analysis and its application to tissue image classification,” in Biomedical texture analysis, Elsevier, 2017, pp. 95–129.
K. Warman, L. A. Harahap, and A. P. Munir, “Identifikasi Kematangan Buah Jeruk dengan Teknik Jaringan Syaraf Tiruan,” J. Rekayasa Pangan dan Pertan, vol. 3, no. 2, pp. 248–253, 2015.
L. Armi and S. Fekri-Ershad, “Texture image analysis and texture classification methods-A review,” arXiv Prepr. arXiv1904.06554, 2019.
M. R. Hassan, R. R. Ema, and T. Islam, “Color image segmentation using
automated K-means clustering with RGB and HSV color spaces,” Glob. J.
Comput. Sci. Technol., 2017.
DOI: http://dx.doi.org/10.35671/jpmm.v3i1.1240
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