Yang, X.; Zhu, L.; Jiang, W.; Yang, Y.; Gan, M.; Shen, L.; Zhu, L.
Machine Learning-Based Prediction of Feed Conversion Ratio: A Feasibility Study of Using Short-Term FCR Data for Long-Term Feed Conversion Ratio (FCR) Prediction. Animals 2025, 15, 1773.
https://doi.org/10.3390/ani15121773
AMA Style
Yang X, Zhu L, Jiang W, Yang Y, Gan M, Shen L, Zhu L.
Machine Learning-Based Prediction of Feed Conversion Ratio: A Feasibility Study of Using Short-Term FCR Data for Long-Term Feed Conversion Ratio (FCR) Prediction. Animals. 2025; 15(12):1773.
https://doi.org/10.3390/ani15121773
Chicago/Turabian Style
Yang, Xidi, Liangyu Zhu, Wenyu Jiang, Yiting Yang, Mailin Gan, Linyuan Shen, and Li Zhu.
2025. "Machine Learning-Based Prediction of Feed Conversion Ratio: A Feasibility Study of Using Short-Term FCR Data for Long-Term Feed Conversion Ratio (FCR) Prediction" Animals 15, no. 12: 1773.
https://doi.org/10.3390/ani15121773
APA Style
Yang, X., Zhu, L., Jiang, W., Yang, Y., Gan, M., Shen, L., & Zhu, L.
(2025). Machine Learning-Based Prediction of Feed Conversion Ratio: A Feasibility Study of Using Short-Term FCR Data for Long-Term Feed Conversion Ratio (FCR) Prediction. Animals, 15(12), 1773.
https://doi.org/10.3390/ani15121773