129. Predicting carcass cut yields in cattle from digital images using artificial intelligence
Author:
Affiliation:
1. Irish Cattle Breeding Federation, Ballincollig, Co. Cork, Ireland.
2. Munster Technological University, Bishopstown, Cork, Ireland.
Publisher
Wageningen Academic Publishers
Link
https://www.wageningenacademic.com/doi/pdf/10.3920/978-90-8686-940-4_129
Reference7 articles.
1. Predicted carcass meat yield and primal cut yields in cattle divergent in genetic merit for a terminal index
2. The relationship of live animal muscular and skeletal scores, ultrasound measurements and carcass classification scores with carcass composition and value in steers
3. Predicting beef carcass meat, fat and bone proportions from carcass conformation and fat scores or hindquarter dissection
4. Deng, J., Dong, W., Socher, R., Li, L.J., Li, K. et al. (2009). Proc. of the 2009 IEEE conference on computer vision and pattern recognition (pp. 248-255).
5. The value of muscular and skeletal scores in the live animal and carcass classification scores as indicators of carcass composition in cattle
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