Author:
Gad Ibrahim,Hassanien Aboul Ella,Darwish Ashraf,Tang Mincong
Publisher
Springer Nature Singapore
Reference25 articles.
1. Amini, S., Taki, M., Rohani, A.: Applied improved RBF neural network model for predicting the broiler output energies. Appl. Soft Comput. 87, 106006 (2020). https://doi.org/10.1016/j.asoc.2019.106006
2. Omomule, T.G., Ajayi, O.O., Orogun, A.O.: Fuzzy prediction and pattern analysis of poultry egg production. Comput. Electron. Agric. 171, 105307 (2020). https://doi.org/10.1016/j.compag.2020.105301
3. FAOSTAT. Food and agriculture organization of the united nations (fao), production of chicken meat (2018). http://www.fao.org/faostat/en/?#data/, Accessed 2020
4. Parastar, H., van Kollenburg, G., Weesepoel, Y., van den Doel, A., Buydens, L., Jansen, J.: Integration of handheld NIR and machine learning to “measure & monitor’’ chicken meat authenticity. Food Control 112, 107149 (2020). https://doi.org/10.1016/j.foodcont.2020.107149
5. Fluck, R.C.: Energy in Farm Production. Elsevier, Amsterdam (1992). https://doi.org/10.1016/c2009-0-00488-7