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Abstract
Abstract
The objective of this research is to determine organic matter content in soil using image processing and artificial neural network. The images of soil were captured using digital camera and processed using image process algorithm. The images parameter data i.e. red, green, blue, hue, saturation, intensity, mean, entropy, energy, contrast, and homogeneity were extracted from sixty soil sample with different organic matter content. Parameter images data were used as the inputs data for ANN analysis. Output layer of ANN is organic matter content in soil. Based on experiment found that application of image processing and ANN for predicting organic matter content in soil have the high accuracy with coefficient determination of 90.75 % and mean square error (MSE) of 0.002762.
Keywords : soil organic matter, images process, artificial neural network
Abastrak
Tujuan penelitian adalah menentukan kadar bahan organik dalam tanah menggunakan pengolahan citra digital dan jaringan syaraf tiruan. Citra tanah diambil menggunakan sebuah camera digital dan diolah menggunakan algoritma pengolahan citra. Parameter citra yang digunakan adalah : red, green, blue, saturasi, intensitas, rerata, entropi, energi, kontras, dan homogenitas diambil dari 60 contoh tanah dengan kadar bahan organik yang berbeda. Parameter citra tersebut digunakan sebagai data masukan dalam analisis ANN., sebagai lapisan keluaran dari ANN adalah kadar bahan organik dalam tanah. Berdasarkan hasil penelitian dan analisis pengolahan citra dan ANN dapat digunakan untuk emprediksi kadar bahan organik dalam tanah dengan akurasi tinggi dengan kooefisien determinasi 90,75% dan MSE 0,002761.
Kata kunsi : bahan orgaik tanah, pengolahan citra, jaringan syaraf tiruan.
Diterima: 12 Agustus 2010; Disetujui: 03 Januari 2011
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