Cattle Race Classification Using Gray Level Co-occurrence Matrix Convolutional Neural Networks

Author:

Santoni Mayanda Mega,Sensuse Dana Indra,Arymurthy Aniati Murni,Fanany Mohamad Ivan

Publisher

Elsevier BV

Subject

General Engineering

Reference25 articles.

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2. A. Ramadhan, D.I. Sensuse, A.M. Arymurthy, A. Noviyanto, Kegiatan Penelitian Model e-Livestock Indonesia sebagai Suatu Sistem e- Government untuk Ketahanan dan Keamanan Sumberdaya Sapi Potong Nasional, Prosiding InSInas, 2012, pp. 5558.

3. A. Ramadhan, D.I. Sensuse, and A. M. Arymurthy, E-Livestock in Indonesia: Definition Adjustment, Expected Benefits, and Challenges,. International ;1;Conference on Advanced Computer Science and Information System (ICACSIS), December 1-2, 2012, pp. 131136.

4. A. Noviyanto and A. M. Arymurthy, Cattles Fur Detection Based on Gaussian Mixture Model in Complex Background: Application of Au- tomatic Race Classification of Beef Cattle, International Conference on Advanced Computer Science and Information System (ICACSIS), December 1-2, 2012, pp. 185189.

5. H. Fahmi, A. Noviyanto, and A. M. Arymurthy, Cattles Fur Detection in Complex Background Based on Graph Cuts, International Conference on Advanced Computer Science and Information System (ICACSIS), September 28-29, 2013, pp. 267-271.

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