Fuzzy approach for classification of pork into quality grades: coping with unclassifiable samples

Author:

Peres Louise Manha,Barbon Jr Sylvio,Fuzyi Estefânia Mayumi,Barbon Ana Paula A.C.,Barbin Douglas Fernandes,Maeda Saito Priscila TiemiORCID,Andreo Nayara,Bridi Ana Maria

Funder

CAPES

FAPESP

CNPq

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference51 articles.

1. Learning fuzzy decision trees for ham quality control;Adorni;Trans. QCAV2001,2001

2. Pale soft exudative (pse) and dark firm dry (dfd) meats: causes and measures to reduce these incidences-a mini review;Adzitey;Int. Food Res. J.,2011

3. Near-infrared hyperspectral imaging for grading and classification of pork;Barbin;Meat Sci.,2012

4. Storage time prediction of pork by computational intelligence;Barbon;Comp. Electron. Agricult.,2016

5. Bauer, A., Petzet, A., Schwagele, F., Scheier, R., Schmidt, H., August 2013. Towards an online assessment of meat quality in pork. In: 59th International Congress of Meat Science and Technology.

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