Artificial Intelligence to Improve Egg Color, Quality, and Production Efficiency-Reference-Cited by-同舟云学术

Artificial Intelligence to Improve Egg Color, Quality, and Production Efficiency

Published:2024-04-19 Issue: Volume: Page:278-281
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Container-title:2024 IEEE 4th International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB)
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Author:

Leong Wai Yie¹,Leong Yuan Zhi²,Leong Wai San²

Affiliation:

1. INTI International University,Negeri Sembilan,Malaysia

2. Schneider Electric Singapore,Kallang,Singapore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10602528/10602553/10602695.pdf?arnumber=10602695

Reference13 articles.

1. Application of Machine Learning in Predicting Egg Production of Laying Hens;Liu;Computers and Electronics in Agriculture,2019

2. Genome-Wide Association Analysis Reveals Genetic Loci and Candidate Genes for Eggshell Quality Traits in Chickens;Qiao;G3: Genes, Genomes, Genetics,2016

3. Development of a Computer Vision System for Egg Quality Inspection Based on Artificial Intelligence;Zhang;Computers and Electronics in Agriculture,2020

4. Research on Intelligent Environmental Control System of Laying Hen House Based on Artificial Intelligence;Guo;Journal of Information Processing Systems,2018

5. Artificial Intelligence Applied to Laying Hens: Precision in Diet Formulation and Reduction in Environmental Impact;Rodrigues;Brazilian Journal of Poultry Science,2021

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1. Poultry Precision: Exploring the Impact of IoT Sensors on Smart Farming Practices;2024 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM);2024-07-10

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