Smart Grid and Internet of Things. 4th EAI International Conference, SGIoT 2020, TaiChung, Taiwan, December 5–6, 2020, Proceedings

Research Article

Using Machine Learning and Internet of Things Framework to Analyze Eggs Hatching

  • @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
Shun-Chieh Chang1, Chih-Hsiang Cheng2, Tse-Yung Huang3, Liou-Yuan Li4, Yu-Liang Liu5
  • 1: Shih Hsin University
  • 2: Livestock Research Institute, Council of Agriculture, Executive Yuan
  • 3: Cybersecurity Technology Institute, Institute for Information Industry
  • 4: Rajamangala University of Technology
  • 5: Overseas Chinese University

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.