Identifikasi Benih Beberapa Varietas Melon (Cucumis Melo L.) Menggunakan Pengolahan Citra Digital
Main Article Content
Abstract
As technology advances, digital images can be used to identify the morphology of various agricultural commodities. Identification of varieties through seeds can be an alternative identification technique in studying varietal diversity. The purpose of this study was to identify the seed shape of several melon varieties using a digital image analysis approach. Six melon varieties were used in this study, namely Gracia, Japonika, Roxy, Golden Aroma, Red Aroma, and Cantaloupe. Digital images were obtained using scanning techniques and processed using ImageJ V1 47q software. Geometry analysis and shape analysis were carried out on the resulting images. The results showed that digital image analysis was more sensitive, precise, and accurate in identifying seed shape characteristics compared to visual observation by naked eye, especially seeds that were outside the range of the specified numbers. The variables or parameters selected to differentiate melon seed varieties were area, circularity, feret angle, and aspect ratio.
Seiring berkembangnya teknologi, citra digital dapat digunakan untuk mengidentifikasi morfologi berbagai komoditas pertanian. Identifikasi varietas melalui biji dapat menjadi teknik identifikasi alternatif dalam hal mempelajari keragaman varietas. Tujuan penelitian ini adalah mengidentifikasi bentuk benih dari beberapa varietas melon dengan pendekatan analisis citra digital. Enam varietas melon digunakan dalam penelitian ini yaitu Gracia, Japonika, Roxy, Golden Aroma, Red Aroma, dan Cantaloupe. Citra digital didapatkan dengan teknik scanning dan diolah melalui software ImageJ V1 47q. Analisis geometri dan analisis bentuk dilakukan terhadap citra yang dihasilkan. Hasil penelitian menunjukkan bahwa analisis citra digital lebih sensitif, teliti, dan akurat untuk mengidentifikasi karakter bentuk benih dibandingkan dengan pengamatan secara visual secara kasat mata, khususnya benih yang berada pada luar kisaran angka yang ditetapkan. Variable atau parameter terpilih sebagai pembeda varietas benih melon ialah area, circular, feret angle, dan aspect ratio
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
References
Ahmad, U. (2005). Pengolahan Citra Digital dan Teknik Pemrogramannya. Yogyakarta : Graha Ilmu.
Battaglino, D., Frosini, A., Guerrini, V., Rinaldi, S., & Socci, S. (2014). Binary pictures with excluded
patterns. In Discrete Geometry for Computer Imagery: 18th IAPR International Conference, DGCI 2014, Siena, Italy, September 10-12, 2014. Proceedings 18 (pp. 25-38). Springer International Publishing.
Dana, W., & Ivo, W. (2008). Computer image analysis of seed shape and seed color for flax cultivar description. Computers and electronics in agriculture, 61(2), 126-135.
Jähne, B. (2005). Digital image processing. Springer Science & Business Media.
Mulsanti, I.W., Surahman, M., Wahyuni, S., Utami, D.W. (2013). Identifikasi galur tetua padi hibrida dengan marka ssr spesifik dan pemanfaatannya dalam uji kemurnian benih. Jurnal Penelitian Pertanian Tanaman Pangan 32(1): 1-8.
Rosell, J. R., & Sanz, R. (2012). A review of methods and applications of the geometric characterization of tree crops in agricultural activities. Computers and electronics in agriculture, 81, 124-141.
Samadi, B. (2007). Melon Pemeliharaan Secara Intensif dan Kiat Sukses Beragribisnis. Yogyakarta : Kanisius.
Shi, J., Zhang, H., & Ray, N. (2009). Solidity based local threshold for oil sand image segmentation. In 2009 16th IEEE International Conference on Image Processing (ICIP) (pp. 2385-2388). IEEE.
Schneider, C.A., W.S. Rasband, and K.W. Eliceiri. 2012. NIH image to imageJ: 25 years of image analysis. Nature Methods 9:671675.
Sobir, dan Firmansyah, D, Siregar. 2010. Budidaya Melon Unggul. Jakarta (ID): Penebar Swadaya.
Soedarya, A.P. 2010. Agribisnis Melon. CV Pustaka Grafika. Bandung. 160 hal.
Williams, K., Munkvold, J., & Sorrells, M. (2013). Comparison of digital image analysis using elliptic Fourier descriptors and major dimensions to phenotype seed shape in hexaploid wheat (Triticum aestivum L.). Euphytica, 190, 99-116.