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Pranee Pirompud

Showing results (1-10 of 7) with videos related to

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Poultry Science|September 11, 2024
Machine learning predictive modeling for condemnation risk assessment in antibiotic-free raised broilersPranee Pirompud, Panneepa Sivapirunthep, Veerasak Punyapornwithaya, et al.
Poultry Science|February 9, 2024
Application of machine learning algorithms to predict dead on arrival of broiler chickens raised without antibiotic programPranee Pirompud, Panneepa Sivapirunthep, Veerasak Punyapornwithaya, et al.
Poultry Science|June 24, 2023
Preslaughter handling factors affecting dead on arrival, condemnations, and bruising in broiler chickens raised without an antibiotic programPranee Pirompud, Panneepa Sivapirunthep, Veerasak Punyapornwithaya, et al.
Poultry Science|September 3, 2025
Predictive modeling of bruising in broiler chickens using machine learning algorithmsPranee Pirompud, Panneepa Sivapirunthep, Veerasak Punyapornwithaya, et al.
Poultry Science|May 27, 2025
Impact of transitioning from antibiotic use to antibiotic-free practices on broiler dead-on-arrival rates: A bayesian structural time series approachPanneepa Sivapirunthep, Pranee Pirompud, Veerasak Punyapornwithaya, et al.
Animals : an Open Access Journal From MDPI|April 26, 2025
Modeling and Forecasting Dead-on-Arrival in Broilers Using Time Series Methods: A Case Study from ThailandChalita Jainonthee, Panneepa Sivapirunthep, Pranee Pirompud, et al.
Animals : an Open Access Journal From MDPI|July 15, 2026
Changes in Carcass Condemnation During a Six-Year Transition from Antibiotic-Based to Antibiotic-Free Broiler Production in Thailand: A Bayesian Structural Time-Series AnalysisVeerasak Punyapornwithaya, Supitchaya Siriyakhun, Chalita Jainonthee, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Poultry Science|September 11, 2024
Machine learning predictive modeling for condemnation risk assessment in antibiotic-free raised broilersPranee Pirompud, Panneepa Sivapirunthep, Veerasak Punyapornwithaya, et al.
Poultry Science|February 9, 2024
Application of machine learning algorithms to predict dead on arrival of broiler chickens raised without antibiotic programPranee Pirompud, Panneepa Sivapirunthep, Veerasak Punyapornwithaya, et al.
Poultry Science|June 24, 2023
Preslaughter handling factors affecting dead on arrival, condemnations, and bruising in broiler chickens raised without an antibiotic programPranee Pirompud, Panneepa Sivapirunthep, Veerasak Punyapornwithaya, et al.
Poultry Science|September 3, 2025
Predictive modeling of bruising in broiler chickens using machine learning algorithmsPranee Pirompud, Panneepa Sivapirunthep, Veerasak Punyapornwithaya, et al.
Poultry Science|May 27, 2025
Impact of transitioning from antibiotic use to antibiotic-free practices on broiler dead-on-arrival rates: A bayesian structural time series approachPanneepa Sivapirunthep, Pranee Pirompud, Veerasak Punyapornwithaya, et al.
Animals : an Open Access Journal From MDPI|April 26, 2025
Modeling and Forecasting Dead-on-Arrival in Broilers Using Time Series Methods: A Case Study from ThailandChalita Jainonthee, Panneepa Sivapirunthep, Pranee Pirompud, et al.
Animals : an Open Access Journal From MDPI|July 15, 2026
Changes in Carcass Condemnation During a Six-Year Transition from Antibiotic-Based to Antibiotic-Free Broiler Production in Thailand: A Bayesian Structural Time-Series AnalysisVeerasak Punyapornwithaya, Supitchaya Siriyakhun, Chalita Jainonthee, et al.
Pageof 1