A fuzzy rule-based system for predicting the live weight of Holstein cows whose body dimensions were determined by image analysis

Şakir TAŞDEMİR; Abdullah ÜRKMEZ; Şeref İNAL

Article Details

A fuzzy rule-based system for predicting the live weight of Holstein cows whose body dimensions were determined by image analysis

Authors:

Şakir TAŞDEMİR | Abdullah ÜRKMEZ | Şeref İNAL

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2011 Vol.19 Issue 4, pp.689-703

Document Type:

Article

Publication Date:

3/2011

Document Language:

Turkish

Document ID (Org No.):

2000743786

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632

Abstract:

 

The aim of this study was to determine the body measurement  of Holstein cows through image analysis (IA) and to estimate their  live weight (LW) by means of a fuzzy rule-based model using the body  measurements.  For this purpose, a photography environment was  established at a dairy cattle farm where a large number of cows were  kept.  First, digital photographs of each animal were synchronously  taken from different directions with Canon EOS 400D cameras.  At the  same time, body dimensions, namely wither height (WH), hip height  (HH), body length (BL), and hip width (HW), of the cows were manually  measured using a laser meter and measuring stick.  The LWs of the cows  were found with a weighing scale and the data were automatically saved  on a computer.  In the second stage, the photos were analyzed by IA  software developed in the Delphi programming language and body  measurements were computed.  Manually measured values were very close  to IA results.  Finally, a fuzzy system was developed by using these  body measurements.  This fuzzy system was developed by using MATLAB  software.  Weights that were estimated with the developed  knowledge-based system were compared with those found by the platform  scale.  The correlation coefficient was calculated (r = 0.99).  There  was a statistically meaningful relationship between the compared data.  The developed system can be used confidently, and the system on which  the experiments were performed can be modeled successfully.

 

The aim of this study was to determine the body measurement  of Holstein cows through image analysis (IA) and to estimate their  live weight (LW) by means of a fuzzy rule-based model using the body  measurements.  For this purpose, a photography environment was  established at a dairy cattle farm where a large number of cows were  kept.  First, digital photographs of each animal were synchronously  taken from different directions with Canon EOS 400D cameras.  At the  same time, body dimensions, namely wither height (WH), hip height  (HH), body length (BL), and hip width (HW), of the cows were manually  measured using a laser meter and measuring stick.  The LWs of the cows  were found with a weighing scale and the data were automatically saved  on a computer.  In the second stage, the photos were analyzed by IA  software developed in the Delphi programming language and body  measurements were computed.  Manually measured values were very close  to IA results.  Finally, a fuzzy system was developed by using these  body measurements.  This fuzzy system was developed by using MATLAB  software.  Weights that were estimated with the developed  knowledge-based system were compared with those found by the platform  scale.  The correlation coefficient was calculated (r = 0.99).  There  was a statistically meaningful relationship between the compared data.  The developed system can be used confidently, and the system on which  the experiments were performed can be modeled successfully.

Article Details

A fuzzy rule-based system for predicting the live weight of Holstein cows whose body dimensions were determined by image analysis

Authors: Şakir TAŞDEMİR | Abdullah ÜRKMEZ | Şeref İNAL

Publisher: TUBITAK

Journal: Turkish Journal of Electrical Engineering and Computer Science 2011 Vol.19 Issue 4, pp.689-703

Document Type: Article

Publication Date: 3/2011

Document Language: Turkish

Document ID (Org No.): 2000743786

Frequency: Bimonthly

eISSN: 1303-6203

pISSN: 1300-0632

Issues

Authors:

Şakir TAŞDEMİR | Abdullah ÜRKMEZ | Şeref İNAL

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2011 Vol.19 Issue 4, pp.689-703

Document Type:

Article

Publication Date:

3/2011

Document Language:

Turkish

Document ID (Org No.):

2000743786

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632