Artificial Neural Networks to Predict Egg-Production Traits in Commercial Laying Breeder Hens
Author:
Affiliation:
1. Universidade Federal do Rio Grande do Sul, Brazil
2. Universidade Feevale, Brazil
Publisher
FapUNIFESP (SciELO)
Subject
Animal Science and Zoology
Link
http://www.scielo.br/scielo.php?script=sci_pdf&pid=S1516-635X2022000400504&tlng=en
Reference38 articles.
1. Artificial neural networks for prediction of physiological and Productive variables of broilers;Abreu LHP;Engenharia Agrícola,2020
2. Effects of hen age and egg weight class on the hatchability of free range indigenous chicken eggs;Abudabos AM;Brazilian Journal of Poultry Science,2017
3. Artificial Neural Networks on Eggs Production Data Management;Almeida LGB;Acta Scientiae Veterinariae,2020
4. Relatório Anual de 2020,2021
5. Egg production forecasting determining efficient modeling approaches;Ahmad AH;Journal of Applied Poultry Research,2011
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Redes neurais artificiais para o gerenciamento da indústria avícola: uma simulação baseada na cadeia de produção de frangos de corte;Ciência Animal Brasileira;2023
2. Artificial neural networks for the management of poultry industry: a simulation based on the broiler production chain;Ciência Animal Brasileira;2023
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