International Journal of Advance Computational Engineering and Networking (IJACEN)
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Statistics report
Jan. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 82
Paper Published : 1209
No. of Authors : 3038
  Journal Paper

Paper Title
Artificial Neural Network for Chicken Growth Anomaly Detection

Abstract
Many broiler farming industry in Indonesia implement partnership schema. The schema should be accompanied by good monitoring system. Fast detection of chicken growth anomaly is needed. A model of artificial neural network is proposed to detect the anomalies of chicken growth. The model is based on the record of mortality number and feed conversion ratio from three consecutive days. The performa of the model is assessed using data from 10 periods of chicken growth. The experiment result reveals that the model is promising to detech the anomaly of chicken growth. Keywords - Chicken growth, anomaly detection, artificial neural network, feed conversion ratio, mortality number


Author - Hindriyanto Dwi Purnomo, Ramos Somya, Charitas Fibirani

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| Published on 2018-04-27
   
   
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