Abstract
For the modern poultry breeding companies, it is worthwhile to predict the poultry growth performance parameters to help future production and management. Most of the existing literature of broiler growth performance is based on well designed experiment. However, for the farmers who carry on the large scale breeding all the year round, it is impractical to adjust all the ambient factors to suitable levels systematically like in the laboratory. In this case, it requires an observational study based on the massive historical data gradually cumulated in production. In this paper, observational study is proposed for seasonal broiler growth performance prediction. Systematic observational study with statistical analysis and data mining technology is adopted including macro analysis, exploratory data analysis, and modeling. Case study using the broiler growth dataset of the most famous poultry raising company in China shows the effectiveness of our approach.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.