Swine live weight estimation by adaptive neuro-fuzzy inference system

被引：5
|
作者：
Okinda, Cedric [1 ]
Liu, Longhen [1 ]
Zhang, Guangyue [1 ]
Shen, Mingxia [1 ]
机构：
[1] Nanjing Agr Univ, Coll Engn, Nanjing 210031, Jiangsu, Peoples R China
来源：
INDIAN JOURNAL OF ANIMAL RESEARCH | 2018年 / 52卷 / 06期
关键词：
Adaptive Neuro-Fuzzy Inference System; Contactless; Features; Modelling; Predictive Power; GROWING-FINISHING PIGS; DIGITAL IMAGE-ANALYSIS; SIZE; PERFORMANCE; PREDICTION; GROWTH; SHEEP; WALK; COWS;
D O I：
10.18805/ijar.v0iOF.7250
中图分类号：
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号：
0905 ;
摘要：
Swine live weight is an important aspect in the production of pork products and also to Stockmen, with reference to market costs, feed conversion, and animal health. The objective of this study was to develop a contactless, stress-free method of swine live weight estimation by machine vision technology. This novel approach was based on image processing for features extraction and Adaptive Neuro-Fuzzy Inference System (ANFIS) for modelling. Firstly, the model determines which input combination holds the highest predictive ability, secondly, used the feature combination with the best predictive power to correlate to live-weight. The test results showed that the average relative error of our proposed system was about 3% and a standard deviation of 0.7%. Thus, development of a practical imaging system for swine live weight estimation by the proposed method is feasible.
引用
收藏
页码：923 / 928
页数：6
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