IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/5583355.html
   My bibliography  Save this article

Image Processing Technology Based on Internet of Things in Intelligent Pig Breeding

Author

Listed:
  • Shan Hua
  • Kaiyuan Han
  • Zhifu Xu
  • Minjie Xu
  • Hongbao Ye
  • Cheng Quan Zhou

Abstract

In recent years, with the continuous innovation of the Internet of Things technology, the image processing technology in the Internet of Things technology has become more and more mature. Automated pig raising will become the mainstream pig raising technology, making the research of image processing technology in the intelligent pig breeding face a change. It has become more and more important. The traditional pig raising model cannot provide a suitable growth and development environment for the pigs. The pigs are disturbed by diseases and environmental discomforts during the growth process, which increases the mortality of the pig breeding process and cannot provide consumers with a guarantee. In order to solve the problem of unfavorable factors during the growth of live pigs, this article uses image processing technology to analyze data through images obtained through automated monitoring and management, uses the system to conduct intelligent, digitized, and standardized management of pig breeding data, and reports to the corresponding. The control module issues instructions to improve the corresponding environmental information and realize the intelligent management of pig breeding. This article will use image processing technology to monitor the growth of pigs in intelligent pig breeding. Studies have shown that the use of image processing technology to realize the intelligent management of pig breeding can help pig farms to carry out manual management to improve production efficiency and management efficiency. The management mode of the pig industry has changed from fuzzy to refined. The breeding cost of pig farms and a lot of manpower and material resources should be reduced, reducing the probability of pigs getting sick and the impact of the environment, reducing the mortality of pigs, improving their economic benefits, and providing consumers with a strong guarantee.

Suggested Citation

  • Shan Hua & Kaiyuan Han & Zhifu Xu & Minjie Xu & Hongbao Ye & Cheng Quan Zhou, 2021. "Image Processing Technology Based on Internet of Things in Intelligent Pig Breeding," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-9, March.
  • Handle: RePEc:hin:jnlmpe:5583355
    DOI: 10.1155/2021/5583355
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2021/5583355.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2021/5583355.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2021/5583355?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kaidong Lei & Xiangfang Tang & Xiaoli Li & Qinggen Lu & Teng Long & Xinghang Zhang & Benhai Xiong, 2024. "Research and Preliminary Evaluation of Key Technologies for 3D Reconstruction of Pig Bodies Based on 3D Point Clouds," Agriculture, MDPI, vol. 14(6), pages 1-12, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:5583355. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.