Indian Journal of Animal Research

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Research Article

Indian Journal of Animal Research, volume 52 issue 6 (june 2018) : 923-928

Swine live weight estimation by adaptive neuro-fuzzy inference system

Cedric Okinda, Longhen Liu, Guangyue Zhang, Mingxia Shen*
1<p>College of Engineering, Nanjing Agricultural University,&nbsp;Jiangsu 210031, P.R. China.</p>
Cite article:- Okinda Cedric, Liu Longhen, Zhang Guangyue, Shen* Mingxia (2017). Swine live weight estimation by adaptive neuro-fuzzy inference system . Indian Journal of Animal Research. 52(6): 923-928. doi: 10.18805/ijar.v0iOF.7250.

ABSTRACT

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.

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