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The Realization of Pig Intelligent Feeding Equipment and Network Service Platform

  • Weihong MaEmail author
  • Jinwei Fan
  • Chunjiang Zhao
  • Huarui Wu
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 546)

Abstract

Proper feeding of pigs can increase the litter size and improve the disease resistance level. In recent years, intelligent and automatic equipment, which can collect feeding times, feed intake, feed time and growth conditions, have been applied to the pig feeding. Most equipment can feed both manually and automatically. Not enough attention has been paid to one pig’s health condition, living environment, and dietary status, which should be considered together in order to make an accurate decision on the feed intake of each pig. At the same time, there are not many network service platforms in China which can effectively manage the intelligent and automatic equipment remotely and simultaneously. To improve pigs’ productivity and enhance the intelligent management of pigs, wireless sensor network, intelligent sensors, network service platform, and reasoning and decision-making technology have been utilized in the management of pigs in multiple areas throughout China. Single feed intake, living environment information, fitness, and weight for pigs throughout China with different conditions were collected in the network service platform by using the intelligent feed equipment which had several different sensors. Meanwhile, the network service platform could recognize the identity of each pig and provide accurate feed remotely. The network service platform would send a text message or an audible and visual alarm to inform the pig keeper whether the pig’s feed intake was proper. According to the reasoning and decision-making model we built in the network service platform, we can remotely obtain through the platform more accurate information within seconds as to each pig’s feeding status. Moreover, the experiment showed that the feeding container was the key factor that influenced the precision of feeding, and the measured value was closely approximate to the target value with error correction.

Keywords

Management of pigs Internet of things Monitoring and warning Reasoning and decision-making Network service platform 

Notes

Acknowledgment

This work is partially funded by the National Natural Science Foundation of China, (project number F010407). We thank Dr. Tina Giannoukos for her English-language editing.

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Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  • Weihong Ma
    • 1
    • 2
    • 3
    • 4
    Email author
  • Jinwei Fan
    • 1
  • Chunjiang Zhao
    • 2
    • 3
    • 4
  • Huarui Wu
    • 2
    • 3
    • 4
  1. 1.College of Mechanical Engineering and Applied Electronics TechnologyBeijing University of TechnologyBeijingChina
  2. 2.National Engineering Research Center for Information Technology in AgricultureBeijingChina
  3. 3.Key Laboratory of Agri-InformaticsMinistry of AgricultureBeijingChina
  4. 4.Beijing Engineering Research Center of Agriculture Internet of ThingsBeijingChina

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