Application of data mining and adaptive neuro-fuzzy structure to predict color parameters of walnuts (Juglans regia L.)

Bünyamin DEMİR

Makale detayları

Application of data mining and adaptive neuro-fuzzy structure to predict color parameters of walnuts (Juglans regia L.)

Yazarlar:

Bünyamin DEMİR

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Agriculture and Forestry 2018 Vol.42 Issue 3, pp.216-225

Belge Tipi:

Makale

Yayın Tarihi:

5/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000806411

Sıklık:

İki Aylık

eISSN:

1303-6173

pISSN:

1300-011X

Özet:

 


Quality is the primary factor designating consumer satisfaction and the 
market price of agricultural commodities. Color
and general appearance are the basic quality indicators for agricultural
 products. Surface colors are assessed through colorimetric
measurements including L*, a*, and b* color parameters. In the present 
study, L*, a*, and b* color parameters of Bilecik, Fernette, Fernor,
Kaman-1, Maraş-12, Maraş-18, Sunland, Şen-2, Yalova-1, and Yalova-3 
walnut cultivars (color parameters of 100 randomly selected
walnuts from each cultivar) were measured with a chroma meter (CR-5 
Konica Minolta). Based on L*, a*, and b* measurements,
equations from which color index (CI), chroma (C*), and hue (h*) angle 
parameters could be calculated were developed with the Find
Laws algorithm of PolyAnalyst. The color parameters obtained from these 
newly developed equations were used in training of adaptive
neuro-fuzzy structure. Then color index (CI), chroma (C*), and hue (h*) 
angle parameters were predicted by adaptive neuro-fuzzy
approach. Root mean square error values of the adaptive 
neuro-fuzzy-based approach were respectively identified as 0.02 for 
Bilecik,
0.01 for Fernette, 0.02 for Fernor, 0.01 for Kaman-1, 0.01 for Maraş-12,
 0.01 for Maraş-18, 0.01 for Sunland, 0.01 for Şen-2, 0.01 for
Yalova-1, and 0.01 for Yalova-3 walnuts. The obtained equations can be 
used as a viable alternative instead of equations that vary
depending on whether a* and b* are negative or positive.

                    

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Makale detayları

Application of data mining and adaptive neuro-fuzzy structure to predict color parameters of walnuts (Juglans regia L.)

Yazarlar: Bünyamin DEMİR

Yayıncı: TUBITAK

Dergi: Turkish Journal of Agriculture and Forestry 2018 Vol.42 Issue 3, pp.216-225

Belge Tipi: Makale

Yayın Tarihi: 5/2018

Belge Dili: İngilizce

Document ID (Org No.): 2000806411

Sıklık: İki Aylık

eISSN: 1303-6173

pISSN: 1300-011X

Sayı

Yazarlar:

Bünyamin DEMİR

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Agriculture and Forestry 2018 Vol.42 Issue 3, pp.216-225

Belge Tipi:

Makale

Yayın Tarihi:

5/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000806411

Sıklık:

İki Aylık

eISSN:

1303-6173

pISSN:

1300-011X