Research Article
Using Machine Learning and Internet of Things Framework to Analyze Eggs Hatching
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@INPROCEEDINGS{10.1007/978-3-030-69514-9_2, author={Shun-Chieh Chang and Chih-Hsiang Cheng and Tse-Yung Huang and Liou-Yuan Li and Yu-Liang Liu}, title={Using Machine Learning and Internet of Things Framework to Analyze Eggs Hatching}, proceedings={Smart Grid and Internet of Things. 4th EAI International Conference, SGIoT 2020, TaiChung, Taiwan, December 5--6, 2020, Proceedings}, proceedings_a={SGIOT}, year={2021}, month={7}, keywords={Waterfowl Thermal imager Artificial intelligence IoT Sensor}, doi={10.1007/978-3-030-69514-9_2} }
- Shun-Chieh Chang
Chih-Hsiang Cheng
Tse-Yung Huang
Liou-Yuan Li
Yu-Liang Liu
Year: 2021
Using Machine Learning and Internet of Things Framework to Analyze Eggs Hatching
SGIOT
Springer
DOI: 10.1007/978-3-030-69514-9_2
Abstract
High-efficiency artificial incubation technology is the basis of the development of the poultry industry, and good chicks can be obtained through excellent egg breeding and good incubation technology. In Taiwan, the control of important parameters for waterfowl hatchery is still based on the inheritance of experience. The manual intervention of the cold egg operation during the hatching process will also affect the stability of the hatching environment and the risk of poultry biological safety infection.
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