A cost-effective approach for chicken egg weight estimation through computer vision

Alphany ARAGUA; Val İrvin MABAYO

doi:https://doi.org/10.31015/jaefs.18013

Makale detayları

A cost-effective approach for chicken egg weight estimation through computer vision

Yazarlar:

Alphany ARAGUA | Val İrvin MABAYO

Yayıncı:

Gültekin ÖZDEMİR

Ana Başlıklar:

Gıda teknolojisi

Dergi:

International Journal of Agriculture Environment and Food Sciences 2018 Vol.2 Issue 3, pp.82-87

Belge Tipi:

Makale

Yayın Tarihi:

9/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000475288

Sıklık:

Üç Aylık

eISSN:

2618-5946

DOI:

https://doi.org/10.31015/jaefs.18013

Özet:

 


Egg weighing and classification are among the most significant phases
done in egg processing by industries which are tedious if done manually by
poultry owners, and egg inspectors and graders. 
This study presented an alternative way of estimating chicken egg weight
through computer vision minimizing human interaction during the process. In
this study, fifteen eggs of white leghorn chicken layers of different sizes
were tested. The eggs’ image was captured using an inexpensive yet reliable
webcam which was then loaded onto the MatLab workspace for image processing and
further image analysis. The center of gravity of the image was determined, and
the extraction of minor axis length and major axis length followed. The
obtained values were used to compute the egg’s weight mathematically. Through
the different image processing methods, image dimensions were extracted and
used to calculate the desired output. The results of this study showed 96.31%
accuracy in estimating the egg’s weight and classification validated by manual
egg weighing and classification procedure. 


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Makale detayları

A cost-effective approach for chicken egg weight estimation through computer vision

Yazarlar: Alphany ARAGUA | Val İrvin MABAYO

Yayıncı: Gültekin ÖZDEMİR

Ana Başlıklar: Gıda teknolojisi

Dergi: International Journal of Agriculture Environment and Food Sciences 2018 Vol.2 Issue 3, pp.82-87

Belge Tipi: Makale

Yayın Tarihi: 9/2018

Belge Dili: İngilizce

Document ID (Org No.): 2000475288

Sıklık: Üç Aylık

eISSN: 2618-5946

DOI: https://doi.org/10.31015/jaefs.18013

Sayı

Yazarlar:

Alphany ARAGUA | Val İrvin MABAYO

Yayıncı:

Gültekin ÖZDEMİR

Ana Başlıklar:

Gıda teknolojisi

Dergi:

International Journal of Agriculture Environment and Food Sciences 2018 Vol.2 Issue 3, pp.82-87

Belge Tipi:

Makale

Yayın Tarihi:

9/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000475288

Sıklık:

Üç Aylık

eISSN:

2618-5946

DOI:

https://doi.org/10.31015/jaefs.18013